Journal articles: 'Relative importance methods'

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Kaplan, R. M., D. Feeny, and D. A. Revicki. "Methods for assessing relative importance in preference based outcome measures." Quality of Life Research 2, no. 6 (December 1993): 467–75. http://dx.doi.org/10.1007/bf00422221.

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GUAN, SHENG-UEI, FANGMING ZHU, and PENG LI. "MODULAR FEATURE SELECTION USING RELATIVE IMPORTANCE FACTORS." International Journal of Computational Intelligence and Applications 04, no. 01 (March 2004): 57–75. http://dx.doi.org/10.1142/s1469026804001021.

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Feature selection plays an important role in finding relevant or irrelevant features in classification. Genetic algorithms (GAs) have been used as conventional methods for classifiers to adaptively evolve solutions for classification problems. In this paper, we explore the use of feature selection in modular GA-based classification. We propose a new feature selection technique, Relative Importance Factor (RIF), to find irrelevant features in the feature space of each module. By removing these features, we aim to improve classification accuracy and reduce the dimensionality of classification problems. Benchmark classification data sets are used to evaluate the proposed approaches. The experiment results show that RIF can be used to determine irrelevant features and help achieve higher classification accuracy with the feature space dimension reduced. The complexity of the resulting rule sets is also reduced which means the modular classifiers with irrelevant features removed will be able to classify data with a higher throughput.

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Bansal, Harvir S., and Philippe Duverger. "Investigating the Measures of Relative Importance in Marketing Research." International Journal of Market Research 55, no. 5 (September 2013): 675–94. http://dx.doi.org/10.2501/ijmr-2013-057.

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Determining the relative importance of various predictors in a marketing research model is important for both theoretical and practical reasons. To date, the most commonly used methods to assess relative importance have involved examining either the regression coefficients or zero-order correlations of each predictor. Unfortunately, these indices are problematic when the predictors are correlated, as is the case with many of the drivers of service-provider switching, loyalty studies, satisfaction models and other marketing research. In this paper, we introduce Dominance Analysis to an audience of researchers in marketing research and empirically demonstrate its usefulness for assessing predictor relative importance. Using a Monte Carlo simulation, we first compare the accuracy of five traditional methods used in marketing research assessing relative importance and comparing them to Dominance Analysis. There are theoretical, as well as empirical, advantages to using Dominance Analysis over other methods, and these are discussed in the context of an empirical example using data drawn from a larger study of auto-repair service customers (n = 355).

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Lawson, Jessica, John J. Warren, Steven M. Levy, Barbara Broffitt, and Samir E. Bishara. "Relative Esthetic Importance of Orthodontic and Color Abnormalities." Angle Orthodontist 78, no. 5 (September 1, 2008): 889–94. http://dx.doi.org/10.2319/080207-361.1.

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Abstract Objective: To assess the relative importance of an orthodontic esthetic index, dental fluorosis and nonfluoride opacities, with respect to parents' satisfaction with their children's dental esthetics. Materials and Methods: Dental examinations of Iowa Fluoride Study participants assessed fluorosis and nonfluoride opacities in the mixed dentition. Dental casts of 200 randomly selected subjects were scored using the Dental Aesthetic Index (DAI) criteria. Parent satisfaction was assessed via multiple items on a questionnaire. Associations were evaluated using logistic regression. Results: Nineteen percent of parents were somewhat or very dissatisfied with their children's dental esthetics. Overall DAI score was positively associated with dissatisfaction (P < .001), as was fluorosis (P = .003). Conclusions: In addition to changes related to DAI scores, parent esthetic satisfaction decreased with the presence of fluorosis. Dental professionals should address both the issues of tooth positioning and color aberration with respect to dental esthetics.

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Naoki, Kazuya. "The Relative Importance of Arthropods and Fruits in Foraging Behavior of Omnivorous Tanagers (Thraupidae): The Comparison of Three Methods." Condor 105, no. 1 (February 1, 2003): 135–39. http://dx.doi.org/10.1093/condor/105.1.135.

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Abstract I quantified the foraging ecology of omnivorous Tangara tanagers with three methods commonly used in the study of foraging behavior. The relative importance of two food types, arthropods and fruits, varied largely depending on which method was used for data analyses. Arthropod foraging was more important than fruit foraging when calculated using the duration of foraging. In contrast, fruit foraging was more important when characterized by the food taken at initial observation and the total number of food items taken. This bias was probably caused by the difference in distribution and abundance of these two food types. Although numerous studies have used the frequency of initial observations to quantify bird foraging behavior, this method tends to underestimate the importance of highly rewarding but scarce food types in time budgets and tends to overestimate the same food type in the number of food items in birds' diets. Importancia Relativa de Artrópodos y Frutos en el Comportamiento de Forrajeo de las Tangaras Omnívoras (Thraupidae): Comparación de Tres Métodos Resumen. Cuantifiqué la ecología de forrajeo de las tangaras omnívoras del género Tangara con tres métodos comúnmente utilizados en el estudio del comportamiento de forrajeo. La importancia relativa de dos tipos de alimento, artrópodos y frutos, varió significativamente dependiendo de qué método se utilizó para analizar los datos. El forrajeo de artrópodos fue más importante que el forrajeo de frutos cuando calculado utilizando duración del forrajeo. En contraste, el forrajeo de frutos fue más importante cuando caracterizado por el tipo de alimento consumido en observación inicial y el número total de alimentos consumidos. Este sesgo fue causado probablemente por la diferencia en distribución y abundancia de estos dos tipos de alimento. Muchos estudios han utilizado la frecuencia de observaciones iniciales para cuantificar el comportamiento de forrajeo de las aves. Sin embargo, este método tiende a subestimar la importancia de aquellos alimentos, de alta recompensa pero escasos, en términos del tiempo invertido en su búsqueda. Al mismo tiempo, este método tiende a sobrestimar estos mismos tipos de alimento cuando se considera el número de artículos alimenticios en la dieta de las aves.

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Huberty, Carl J., and Joseph M. Wisenbaker. "Variable Importance in Multivariate Group Comparisons." Journal of Educational Statistics 17, no. 1 (March 1992): 75–91. http://dx.doi.org/10.3102/10769986017001075.

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Three views of relative variable contribution in a multivariate analysis of variance context are discussed: contribution to (a) latent construct definition, (b) linear discriminant function scores, and (c) grouping variable effects. It is argued that the third view is most meaningful. The problem of assessing the relative importance of a set of outcome variables is reviewed. Two numerical ranking methods are proposed. The bootstrap approach is used to compare the methods utilizing two real data sets. No definitive preference is advanced. The variable-ordering problem in two other multivariate analysis contexts is briefly discussed.

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Lee, Junghei. "Relative Importance Analysis of Public Arts Organization’s Performance Evaluation Index: Focused on AHP methods." Journal of Cultural Policy 33, no. 1 (May 2019): 155–84. http://dx.doi.org/10.16937/jcp.2019.33.1.155.

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Yoon, Jee In, and Gi-soo Kim. "Examining the Relative Importance of Indicators for Outdoor Recreation Setting Using Visual Research Methods." Korean Journal of Physical Education 59, no. 3 (May 30, 2020): 325–34. http://dx.doi.org/10.23949/kjpe.2020.5.59.3.325.

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Hayashi, Yoichi, and Masato Nakai. "Reasoning Methods Using a Fuzzy Production Rule with Linguistic Relative Importance in an Antecedent." IEEJ Transactions on Electronics, Information and Systems 109, no. 9 (1989): 661–68. http://dx.doi.org/10.1541/ieejeiss1987.109.9_661.

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Honti, M., A. Scheidegger, and C. Stamm. "Importance of hydrological uncertainty assessment methods in climate change impact studies." Hydrology and Earth System Sciences Discussions 11, no. 1 (January 14, 2014): 501–53. http://dx.doi.org/10.5194/hessd-11-501-2014.

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Abstract. Climate change impact assessments have become more and more popular in hydrology since the middle 1980's with a recent boost after the publication of the IPCC AR4 report. During hundreds of impact studies a quasi-standard methodology emerged, which is mainly shaped by the growing public demand for predicting how water resources management or flood protection should change in the following decades. The "standard" workflow relies on a model cascade from global circulation model (GCM) predictions for selected IPCC scenarios to future catchment hydrology. Uncertainty is present at each level and propagates through the model cascade. There is an emerging consensus between many studies on the relative importance of the different uncertainty sources. The prevailing perception is that GCM uncertainty dominates hydrological impact studies. Our hypothesis was that the relative importance of climatic and hydrologic uncertainty is (among other factors) heavily influenced by the uncertainty assessment method. To test this we carried out a climate change impact assessment and estimated the relative importance of the uncertainty sources. The study was performed on two small catchments in the Swiss Plateau with a lumped conceptual rainfall runoff model. In the climatic part we applied the standard ensemble approach to quantify uncertainty but in hydrology we used formal Bayesian uncertainty assessment with two different likelihood functions. One was a time-series error model that was able to deal with the complicated statistical properties of hydrological model residuals. The second was an approximate likelihood function for the flow quantiles. The results showed that the expected climatic impact on flow quantiles was small compared to prediction uncertainty. The source, structure and composition of uncertainty depended strongly on the uncertainty assessment method. This demonstrated that one could arrive to rather different conclusions about predictive uncertainty for the same hydrological model and calibration data when considering different objective functions for calibration.

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Honti, M., A. Scheidegger, and C. Stamm. "The importance of hydrological uncertainty assessment methods in climate change impact studies." Hydrology and Earth System Sciences 18, no. 8 (August 29, 2014): 3301–17. http://dx.doi.org/10.5194/hess-18-3301-2014.

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Abstract. Climate change impact assessments have become more and more popular in hydrology since the middle 1980s with a recent boost after the publication of the IPCC AR4 report. From hundreds of impact studies a quasi-standard methodology has emerged, to a large extent shaped by the growing public demand for predicting how water resources management or flood protection should change in the coming decades. The "standard" workflow relies on a model cascade from global circulation model (GCM) predictions for selected IPCC scenarios to future catchment hydrology. Uncertainty is present at each level and propagates through the model cascade. There is an emerging consensus between many studies on the relative importance of the different uncertainty sources. The prevailing perception is that GCM uncertainty dominates hydrological impact studies. Our hypothesis was that the relative importance of climatic and hydrologic uncertainty is (among other factors) heavily influenced by the uncertainty assessment method. To test this we carried out a climate change impact assessment and estimated the relative importance of the uncertainty sources. The study was performed on two small catchments in the Swiss Plateau with a lumped conceptual rainfall runoff model. In the climatic part we applied the standard ensemble approach to quantify uncertainty but in hydrology we used formal Bayesian uncertainty assessment with two different likelihood functions. One was a time series error model that was able to deal with the complicated statistical properties of hydrological model residuals. The second was an approximate likelihood function for the flow quantiles. The results showed that the expected climatic impact on flow quantiles was small compared to prediction uncertainty. The choice of uncertainty assessment method actually determined what sources of uncertainty could be identified at all. This demonstrated that one could arrive at rather different conclusions about the causes behind predictive uncertainty for the same hydrological model and calibration data when considering different objective functions for calibration.

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Mallory-Smith, Carol, Linda M. Hall, and Nilda R. Burgos. "Experimental Methods to Study Gene Flow." Weed Science 63, SP1 (February 2015): 12–22. http://dx.doi.org/10.1614/ws-d-13-00064.1.

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Herbicide resistance is an exceptional marker to quantify gene flow. Quantification of pollen-, seed-, and vegetative propagule-mediated gene flow provides key weed biology information. Pollen-mediated gene flow influences the genetic variance within a population, the frequency of multiple or polygenic herbicide resistance, and the evolutionary dynamics of a species. Seed-mediated gene flow predominates in self-pollinating species. Gene flow quantification may enable the estimation of herbicide resistance epicenter, the comparison of the relative importance of gene flow pathways, and prediction of future distribution of resistance traits. Gene flow studies using herbicide resistance also can provide insight into the rates and importance of hybridization.

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Duverger, Philippe, and Xiaoyin Wang. "Capturing Relative Importance of Customer Satisfaction Drivers Using Bayesian Dominance Hierarchy." Cornell Hospitality Quarterly 59, no. 1 (July 10, 2017): 39–48. http://dx.doi.org/10.1177/1938965517719268.

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Customer satisfaction (CS) research traditionally focuses on large data sets collected over long periods of time across several business units. Business unit managers or property managers have a different focus in that they need to address dissatisfaction issues on a monthly basis and on a property basis. In search for zero defects, they are often confined to small samples lacking power where they cannot draw the relative importance of each variable responsible for the making of the overall perceived quality in their customer base. We propose to use a Bayesian approach to estimate the relative importance of predictors in the presence of small samples. Based on 12 consecutive months of CS survey data collected in a hotel, we show how the hotel manager can easily prioritize his or her quality management action plan on a monthly basis. The results of our study complement the current CS research methods while managing limited resources.

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Lee, Jae-Yeol. "A study on the relative importance of methods to assess practical teaching competency of pre-service teachers." Korean Association For Learner-Centered Curriculum And Instruction 18, no. 11 (May 28, 2018): 59–74. http://dx.doi.org/10.22251/jlcci.2018.18.11.59.

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Nakayama, Marvin K. "General conditions for bounded relative error in simulations of highly reliable Markovian systems." Advances in Applied Probability 28, no. 03 (September 1996): 687–727. http://dx.doi.org/10.1017/s0001867800046450.

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We establish a necessary condition for any importance sampling scheme to give bounded relative error when estimating a performance measure of a highly reliable Markovian system. Also, a class of importance sampling methods is defined for which we prove a necessary and sufficient condition for bounded relative error for the performance measure estimator. This class of probability measures includes all of the currently existing failure biasing methods in the literature. Similar conditions for derivative estimators are established.

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Nakayama, Marvin K. "General conditions for bounded relative error in simulations of highly reliable Markovian systems." Advances in Applied Probability 28, no. 3 (September 1996): 687–727. http://dx.doi.org/10.2307/1428177.

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We establish a necessary condition for any importance sampling scheme to give bounded relative error when estimating a performance measure of a highly reliable Markovian system. Also, a class of importance sampling methods is defined for which we prove a necessary and sufficient condition for bounded relative error for the performance measure estimator. This class of probability measures includes all of the currently existing failure biasing methods in the literature. Similar conditions for derivative estimators are established.

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Luchman, Joseph N., Xue Lei, and Seth Kaplan. "Relative importance analysis with multivariate models: Shifting the focus from independent variables to parameter estimates." Journal of Applied Structural Equation Modeling 4, no. 2 (June 25, 2020): 1–20. http://dx.doi.org/10.47263/jasem.4(2)02.

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Conclusions regarding the relative importance of different independent variables in a statistical model have meaningful implications for theory and practice. However, methods for determining relative importance have yet to extend beyond statistical models with a single dependent variable and a limited set of multivariate models. To accommodate multivariate models, the current work proposes shifting away from the concept of independent variable relative importance toward that of parameter estimate relative importance (PERI). This paper illustrates the PERI approach by comparing it to the evaluation of regression slopes and independent variable relative importance (IVRI) statistics to show the interpretive and methodological advantages of the new concept and associated methods. PERI’s advantages above standardized slopes stem from the same fit metric that is used to compute PERI statistics; this makes them more comparable to one another than standardized slopes. PERI’s advantages over IVRI stem from situations where independent variables do not predict all dependent variables; hence, PERI permits importance determination in situations where independent variables are nested in dependent variables they predict. We also provide recommendations for implementing PERI using dominance analysis with statistical models that can be estimated with maximum likelihood estimation combined with a series of model constraints using two examples.

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Maliene, Vida, Robert Dixon-Gough, and Naglis Malys. "Dispersion of relative importance values contributes to the ranking uncertainty: Sensitivity analysis of Multiple Criteria Decision-Making methods." Applied Soft Computing 67 (June 2018): 286–98. http://dx.doi.org/10.1016/j.asoc.2018.03.003.

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Mejia, Etienne A., Frank R. Noyes, and Edward S. Grood. "Posterior Cruciate Ligament Femoral Insertion Site Characteristics: Importance for Reconstructive Procedures." American Journal of Sports Medicine 30, no. 5 (September 2002): 643–51. http://dx.doi.org/10.1177/03635465020300050301.

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Background: Previous descriptions of the insertion site of the posterior cruciate ligament are inadequate. Hypothesis: More than one reference system is required to adequately represent the anatomy of the femoral attachment. Study Design: Descriptive anatomic study. Methods: Twelve cadaveric specimens were evaluated by using two measurement methods relative to the femoral articular cartilage margin and two methods relative to the intercondylar femoral roof. Results: Reference lines perpendicular to the articular cartilage best defined the 12- and 1-o'clock positions, and those perpendicular to the articular cartilage or parallel to the femoral shaft best defined the 2-, 3-, and 4-o'clock positions. The angle of the proximal attachment to the roof was 88° ± 5.5°. The posterior cruciate ligament was a continuum of fibers rather than two distinct bundles, and its attachment showed variability in shape and thickness, extending past the midline in the notch (11:21 ± 15 minutes to 4:12 ± 20 minutes, right knee). Conclusions: More than one measurement system is required to accurately describe the femoral origin of the posterior cruciate ligament. Clinical Relevance: Accurate assessment of the anatomy is crucial for successful surgical reconstruction of the posterior cruciate ligament femoral attachment.

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Naoki, Kazuya. "THE RELATIVE IMPORTANCE OF ARTHROPODS AND FRUITS IN FORAGING BEHAVIOR OF OMNIVOROUS TANAGERS (THRAUPIDAE): THE COMPARISON OF THREE METHODS." Condor 105, no. 1 (2003): 135. http://dx.doi.org/10.1650/0010-5422(2003)105[135:trioaa]2.0.co;2.

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Abd Ali, Raid Saleem, and Nooran kanaan Yassin. "Statistical Evaluation for claims and disputes in construction contracts." Wasit Journal of Engineering Sciences 5, no. 2 (May 14, 2017): 80–96. http://dx.doi.org/10.31185/ejuow.vol5.iss2.61.

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This research aims to diagnose and identify the causes of claims and disputes between the contractor and the employer, also review the methods used to resolve disputes in construction contracts. In order to achieve the goal of the research, scientific methodology is followed to collect information and data on the subject of claims and disputes in construction projects in Iraq through personal interviews and questionnaire form. The most important results in this research are: the price schedule contract as a kind of competitive contracts is the most important and guarantee for the completion of minimum level of claims and disputes with relative importance of (84.1), compared with the (cost plus a percentage of the cost contract) as a kind of negotiating contracts is the most relative importance of (79.6), and the turnkey contract as a kind of special contracts is the most relative importance of (74.2). The contractor and his agents are one of the most influence sources in occurring claims and disputes in construction contracts with relative importance of (77.4) followed by the contract documents with relative importance of (74.2) and then the employer with relative importance of (73.2). In addition to the long period of litigation and the multiplicity of veto grades are most negative when contractual disputes have resolved by it, and with relative importance of (86), followed by the large number of issues and lack of efficiency and specialty of Judges with relative importance (78.4). Finally, the direct negotiation method (relative importance of 77) is one of the most friendly settlement ways favored by conflicted parties, while the resolution of disputes and claims board (relative importance of 10) occupied the last rank in the friendly settlement ways.

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Smith, Jennifer, Cate O’Brien, and Joseph Bihary. "Relative Importance of Positive Aging Dimensions Among Latino Older Adults and Service Providers." Innovation in Aging 4, Supplement_1 (December 1, 2020): 342–43. http://dx.doi.org/10.1093/geroni/igaa057.1100.

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Abstract The variation in Latino older adults’ conceptualizations of positive aging across studies suggests greater attention should be paid to within-group factors. The purpose of the current study was to identify which factors are important to positive aging from the perspective of Latino older adults, and whether the importance of these factors varied based on participant characteristics. A second aim of this study was to examine whether there are differences in views of successful aging between Latino older adults and service providers who support aging Latinos. The current study was conducted as part of a broader research project investigating Latino older adults’ perceptions of positive aging. Latino older adults (n = 93) and aging services providers (n = 45) rated the importance of a series of statements related to positive aging. Mixed-methods analysis of the statements identified nine distinct dimensions (Positive Outlook, Spirituality/Religion, Healthy Behaviors, Independence, Self-Care, Support for Others, Social Support, Leisure Activities, and Adaptability). Latino older adults rated Positive Outlook and Spirituality highest on importance, and ratings differed based on gender and other individual difference characteristics. For example, men placed greater relative importance on Independence and Support for Others compared to women, and younger participants rated Independence higher on importance compared to older participants. In addition, Latino older adults (vs. providers) placed greater importance on all aspects of positive aging, with greatest mean differences related to providing Support for Others and Spirituality. These findings have implications for wellness programs for Latino older adults and training for service providers.

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Clinch, S. R. J., P. J. Boult, and R. A. Hayes. "THE IMPORTANCE OF WETTABILITY AND WETTABILITY TESTING METHODS USED IN THE OIL INDUSTRY." APPEA Journal 35, no. 1 (1995): 143. http://dx.doi.org/10.1071/aj94010.

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The wettability of a petroleum reservoir governs the location of fluids within its pore space and hence the movement of fluids through it during production. Properties that may be affected by wettability include resistivity, capillary pressure, relative permeability and rock strength as well as behaviour during waterflood and enhanced oil recovery. Generally every reservoir is initially assumed to be water wet. When production problems arise, the wettability of a reservoir will only be questioned when all other possibilities have been accounted for. By correctly determining the wettability of a reservoir more accurate models can be provided for reservoir simulation, which in turn will improve the prediction of future field performance.Many methods of varying difficulty and accuracy can be used to measure wettability. However, they can only be as good as the quality of the fluid samples used. It is important to understand that reliable results are only obtained when sample contamination is minimised and experimental control is maximised. Some wettability experiments can be carried out at reservoir conditions, which may be more representative, but also more susceptible to contamination.In an oil reservoir either oil or brine can be the most wetting phase and gas is normally the least wetting phase. From a thorough investigation of downhole logs and production data it may be possible to identify wetting anomalies. Examining formation pressure data is the most recent method proposed for determining wettability.

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SHARMA, SURENDRA P. "ASSESSMENT OF NONEQUILIBRIUM RADIATION COMPUTATION METHODS FOR HYPERSONIC FLOWS." International Journal of Modern Physics C 04, no. 04 (August 1993): 847–81. http://dx.doi.org/10.1142/s0129183193000689.

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The present understanding of shock-layer radiation in the low density regime, as appropriate to hypersonic vehicles, is surveyed. Based on the relative importance of electron excitation and radiation transport, the hypersonic flows are divided into three groups: weakly ionized, moderately ionized, and highly ionized flows. In the light of this division, the existing laboratory and flight data are scrutinized. Finally an assessment of the nonequilibrium radiation computation methods for the three regimes in hypersonic flows is presented. The assessment is conducted by comparing experimental data against the values predicted by the physical model.

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WEI, CUIPING, and XIJIN TANG. "AN INTUITIONISTIC FUZZY GROUP DECISION-MAKING APPROACH BASED ON ENTROPY AND SIMILARITY MEASURES." International Journal of Information Technology & Decision Making 10, no. 06 (November 2011): 1111–30. http://dx.doi.org/10.1142/s0219622011004737.

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In this paper, we study group decision-making problems based on intuitionistic preference relations. By measuring the uncertain information of intuitionistic preference relations and the average similarity degree of one individual intuitionistic preference relation to the others, we propose a new approach to assess the relative importance weights of experts. The approach takes both the objective and subjective information of experts into consideration. We then integrate the weights of experts into the individual intuitionistic preference relations and develop a relative similarity method to derive the priorities of alternatives. The comparison analysis with other methods by two numerical examples illustrates the practicality and effectiveness of the proposed methods.

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BI, JIAN. "A REVIEW OF STATISTICAL METHODS FOR DETERMINATION OF RELATIVE IMPORTANCE OF CORRELATED PREDICTORS AND IDENTIFICATION OF DRIVERS OF CONSUMER LIKING." Journal of Sensory Studies 27, no. 2 (March 2, 2012): 87–101. http://dx.doi.org/10.1111/j.1745-459x.2012.00370.x.

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Sara, Juliana, Rob M. Stikkelman, and Paulien M. Herder. "Assessing relative importance and mutual influence of barriers for CCS deployment of the ROAD project using AHP and DEMATEL methods." International Journal of Greenhouse Gas Control 41 (October 2015): 336–57. http://dx.doi.org/10.1016/j.ijggc.2015.07.008.

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Yoder, Paul J., Ann P. Kaiser, and Cathy L. Alpert. "An Exploratory Study of the Interaction Between Language Teaching Methods and Child Characteristics." Journal of Speech, Language, and Hearing Research 34, no. 1 (February 1991): 155–67. http://dx.doi.org/10.1044/jshr.3401.155.

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The present study examined whether the relative efficacy of two language teaching methods was predicted by pretreatment subject characteristics. Forty handicapped preschoolers were randomly assigned to two language teaching methods (i.e., Milieu Teaching and the Communication Training Program). No main effects of treatment were found. However, seven statistical interactions between pretreatment subject characteristics and language teaching method indicated that lower-functioning children benefitted more from the Milieu method and higherfunctioning children benefitted more from the Communication Training Program. The results were discussed in relation to the extant literature reporting subject-by-language-teachingmethod interactions. The importance of replicating the present results and specific suggestions for subject selection criteria and pretreatment subject characteristics likely to interact with language teaching methods similar to those used in this study are discussed.

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Souza, Joseline Corrêa, José Antonio Tosta dos Reis, and Antonio Sergio Ferreira Mendonça. "Importance of adequate appropriation of physiographic information for concentration times determination." Ambiente e Agua - An Interdisciplinary Journal of Applied Science 13, no. 4 (July 3, 2018): 1. http://dx.doi.org/10.4136/ambi-agua.2184.

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Concentration time is an important parameter for drainage systems design and is closely related to the physiographic characteristics of a given hydrographic basin. Information from cartographic bases or images obtained by remote sensing, which present certain scales/resolutions, are often employed for the appropriation of concentration times. The present study sought to investigate the influence that the combination of different physiographic information, in different scales, and different calculation methods can produce in concentration times’ values. The applied methodology included a concentration times appropriation methods survey, identification of methods compatible with the study area characteristics, physiographic variables appropriation from information plans at different scales and concentration times determination for different regions. The results show that there is an equivalence between Tulsa District and US Corps of Engineers methods, and that these methods produce higher concentration times estimates than those produced by the George Ribeiro method. For the study area, the maximum calculated relative error was 52%.

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Bastien, Olivier, Vincent Piriou, Abdellah Aouifi, Claire Flamens, Rhys Evans, and Jean Jacques Lehot. "Relative Importance of Flow versus Pressure in Splanchnic Perfusion during Cardiopulmonary Bypass in Rabbits." Anesthesiology 92, no. 2 (February 1, 2000): 457. http://dx.doi.org/10.1097/00000542-200002000-00028.

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Background Decreased gastrointestinal perfusion has been reported during cardiopulmonary bypass (CPB). Conflicting results have been published concerning thresholds of pressure and flow to avoid splanchnic ischemia during CPB. This study compared splanchnic perfusion during independent and randomized variations of CPB pump flow or arterial pressure. Methods Ten rabbits were studied during mild hypothermic (36 degrees C) nonpulsatile CPB using neonatal oxygenators. Simultaneous measurements of tissue blood flow in four different splanchnic areas (gastric, jejunum, ileum, and liver) were performed by laser Doppler flowmetry (LDF) before CPB (T0) and during a 4-step factorial experimental block design. Pressure and flow were alternatively high or low in random order. Results Laser Doppler flowmetry was significantly lower than pre-CPB value but was better preserved (analysis of covariance) in all organs, except liver, when CPB flow was high, whatever the pressure. Splanchnic LDF values in the low- versus high-flow groups expressed as perfusion unit were (mean +/- SD): stomach, 94+/-66 versus 137+/-75; jejunum, 118+/-78 versus 172+/-75; ileum, 95+/-72 versus 146+/-83; and liver, 79+/-72 versus 108+/-118. No significant difference of LDF was observed between the high- and low-pressure groups, whatever the flow, except for liver: stomach, 115+/-64 versus 117+/-83; jejunum, 141+/-80 versus 148+/-83; ileum, 127+/-87 versus 114+/-76; liver, 114+/-88 versus 73+/-70. Conclusion Prevention of splanchnic ischemia during CPB should focus on preservation of high CPB blood flow rather than on high pressure.

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Giesbrecht, N., Y. Sell, C. Scialfa, L. Sandals, and P. Ehlers. "Essential Topics in Introductory Statistics and Methodology Courses." Teaching of Psychology 24, no. 4 (October 1997): 242–46. http://dx.doi.org/10.1207/s15328023top2404_2.

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The purpose of this research is to assess interdisciplinary agreement about the content of an introductory course in statistics and research methods. We compiled a set of methodological and statistical topics from relevant research, introductory textbooks, and course descriptions. Eighteen professors in the natural sciences, social sciences, and education assessed the importance of these topics for a hypothetical introductory statistics and research methods course. Results indicate agreement across disciplines on the relative importance of 97% of the statistical topics, with 75% of these topics deemed to be important. In contrast, there is agreement on the relative importance of only 48% of the research methods topics. The results are useful in the evaluation of existing statistics courses and texts. In addition, the data provide support for interdisciplinary introductory statistics instruction but also raise questions regarding the apparent discipline-specific nature of instruction in methodology.

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Ninni, Sandro, Gilles Lemesle, Thibaud Meurice, Olivier Tricot, Nicolas Lamblin, and Christophe Bauters. "Relative Importance of Heart Failure Events Compared to Stroke and Bleeding in AF Patients." Journal of Clinical Medicine 10, no. 5 (February 28, 2021): 923. http://dx.doi.org/10.3390/jcm10050923.

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Introduction: Incident heart failure (HF), ischemic stroke and systemic embolism (IS/SE), and major bleeding related to anticoagulation therapy are still the most frequent events occurring in patients with atrial fibrillation (AF). The aim of this study was to assess the 3-year incidence, predictors, and related mortality of IS/SE, major bleeding, and HF in a large cohort of AF outpatients. Methods and results: We studied 4973 outpatients with prevalent AF included in the CARDIONOR registry. The mean age was 72.9 ± 11.2 years, 24.1% had diabetes mellitus and 78.9% had anticoagulant therapy at baseline. The mean CHA2DS2Vasc score was 3.4 ± 1.7. After a median follow-up of 3.2 years (IQR: 2.8 to 3.5), incident HF, IS/SE and major bleeding occurred in 10.5%, 3.3% and 2.1% of patients, respectively. When analyzed as time-dependent variables, IS/SE, major bleeding and hospitalization for decompensated HF were all strongly associated with mortality. The independent predictors of incident HF were age, women, hypertension, diabetes mellitus, coronary artery disease and a previous history of HF. A sensitivity analysis in patients without history of HF at inclusion revealed that incident HF remained the most frequent adverse event, occurring in 5.3% of patients, compared to IS/SE (1.7%) and major bleeding (2.5%). Conclusion: HF is a common residual cardiovascular adverse event occurring in AF outpatients and is associated with a very high mortality. Since modifiable risk factors are associated with incident HF, upstream intensive management of these risk factors would be of interest.

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Zhao, Kaifeng, Seyed Hanif Mahboobi, and Saeed R. Bagheri. "Revenue-based attribution modeling for online advertising." International Journal of Market Research 61, no. 2 (May 22, 2018): 195–209. http://dx.doi.org/10.1177/1470785318774447.

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This article examines and proposes several attribution models that quantify how revenue should be attributed to online advertising inputs. We adopt and further develop relative importance methods, which are based on regression models that have been extensively studied and utilized to investigate the relationship between advertising efforts and market reaction (revenue). The relative importance methods aim at decomposing and allocating marginal contributions to the coefficient of determination ( R2) of the regression models as attribution values. In particular, we adopt two alternative submethods to perform this decomposition: dominance analysis and relative weight analysis. Moreover, we demonstrate an extension of the decomposition methods from standard linear models to additive models. We claim that our new approaches are more flexible and accurate in modeling the underlying relationship and quantifying the attribution values. We use simulation examples to demonstrate the superior performance of our new approaches to traditional methods. We further illustrate the value of our proposed approaches using a real advertising campaign data set.

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Gogodze, Joseph. "Applications of Some Rating Methods to Solve Multicriteria Decision-Making Problems." Statistics, Optimization & Information Computing 9, no. 1 (December 24, 2020): 35–46. http://dx.doi.org/10.19139/soic-2310-5070-750.

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This study proposes a new approach for the solution of multicriteria decision-making problems. The proposed approach is based on using rating/ranking methods. Particularly, in this paper, we investigate the possibility of applying Massey, Colley, Keener, offence-defence, and authority-hub rating methods, which are successfully used in various fields. The proposed approach is useful when no decision-making authority is available or when the relative importance of various criteria has not been previously evaluated. The proposed approach is tested with an example problem to demonstrate its viability and suitability for application.

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Gutmark, E. J., K. C. Schadow, and K. H. Yu. "Methods for Enhanced Turbulence Mixing in Supersonic Shear Flows." Applied Mechanics Reviews 47, no. 6S (June 1, 1994): S188—S192. http://dx.doi.org/10.1115/1.3124403.

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Supersonic shear layers have inherent low mixing rates due to compressibility effects. Their mixing rate relative to subsonic shear layers can be up to 5 times lower. Several important technological applications which require intense mixing of supersonic flows gave impetus to research aimed to develop methods to enhance mixing in compressible flows with minimal performance penalty. This paper reviews some of these methods applied to both planar shear layers and jets. The methods are arranged in several categories: passive and active control of shear layer instabilities, three dimensional jets, generation of axial vorticity and shock interaction with shear layers. The paper concludes by discussing the importance of the wide range of length-scales in which turbulent mixing occurs.

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Kislev, Elyakim. "How do relationship desire and sociability relate to each other among singles? Longitudinal analysis of the Pairfam survey." Journal of Social and Personal Relationships 37, no. 8-9 (June 24, 2020): 2634–50. http://dx.doi.org/10.1177/0265407520933000.

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This study examines the effect of relationship desire on singles’ social lives and vice versa. Based on the German-based Panel Analysis of Intimate Relationships and Family Dynamics study, never-married singles and divorced singles were analyzed. Cross-sectional results showed a correlation between the extent to which singles desire relationship and both the relative importance of friendships and overall social satisfaction. Further analysis, using longitudinal methods, showed that the move to a lower degree of relationship desire had a significant effect on the relative importance of friends. Furthermore, both higher levels of the relative importance of friends and social satisfaction are negatively correlated with relationship desire. These results clarify previous studies and point to the fact that singles with low relationship desire are more social and derive greater support from their friends.

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Helbich, Marco, Julian Hagenauer, and Hannah Roberts. "Relative importance of perceived physical and social neighborhood characteristics for depression: a machine learning approach." Social Psychiatry and Psychiatric Epidemiology 55, no. 5 (November 14, 2019): 599–610. http://dx.doi.org/10.1007/s00127-019-01808-5.

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Abstract Purpose The physical and social neighborhood environments are increasingly recognized as determinants for depression. There is little evidence on combined effects of multiple neighborhood characteristics and their importance. Our aim was (1) to examine associations between depression severity and multiple perceived neighborhood environments; and (2) to assess their relative importance. Methods Cross-sectional data were drawn from a population-representative sample (N = 9435) from the Netherlands. Depression severity was screened with the Patient Health Questionnaire (PHQ-9) and neighborhood perceptions were surveyed. Supervised machine learning models were employed to assess depression severity-perceived neighborhood environment associations. Results We found indications that neighborhood social cohesion, pleasantness, and safety inversely correlate with PHQ-9 scores, while increasing perceived distance to green space and traffic were correlated positively. Perceived distance to blue space and urbanicity seemed uncorrelated. Young adults, low-income earners, low-educated, unemployed, and divorced persons were more likely to have higher PHQ-9 scores. Neighborhood characteristics appeared to be less important than personal attributes (e.g., age, marital and employment status). Results were robust across different ML models. Conclusions This study suggested that the perceived social environment plays, independent of socio-demographics, a role in depression severity. Contrasted with person-level and social neighborhood characteristics, the prominence of the physical neighborhood environment should not be overstated.

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Sioma, Andrzej. "Filtering Algorithms for 3D Range Image Analysis." Solid State Phenomena 199 (March 2013): 235–40. http://dx.doi.org/10.4028/www.scientific.net/ssp.199.235.

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This article is devoted to the methods of image analysis used in three-dimensional vision systems. Based on a sample set of 3D images, their defects resulting from the adopted three-dimensional image construction technique are discussed. Those defects are discussed in relation to the following parameters: speed of the vision system, power of the laser, laser mode, laser arrangement relative to the vision system sensor and relative to the tested surface. To illustrate the cases discussed, images showing the effects of selected parameters on the quality of mapping of the tested object onto a three-dimensional image were presented. The next part of the article discusses methods of range image filtering that removes or reduces the importance of defects of the adopted method in any control and measuring tasks. Particular attention is given to methods of removing data described as missing data.

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Marang-van de Mheen, P. J., J. Dijs-Elsinga, W. Otten, M. Versluijs, H. J. Smeets, R. Vree, W. J. van der Made, and J. Kievit. "The Relative Importance of Quality of Care Information When Choosing a Hospital for Surgical Treatment." Medical Decision Making 31, no. 6 (December 3, 2010): 816–27. http://dx.doi.org/10.1177/0272989x10386799.

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Objective: To assess the impact of quality of care and other hospital information on patients’ choices between hospitals. Methods: 665 former surgical patients were invited to respond to an Internet-based questionnaire including a choice-based conjoint analysis. Each patient was presented with 12 different comparisons of 2 hospitals, with each hospital characterized by 6 attributes containing 2 levels. Hospital attributes were included if frequently reported by patients as most important for future hospital choices. These included both general hospital information (e.g., atmosphere), information on quality of care (e.g., percentage of patients with “textbook outcome”), and surgery-specific information (e.g., possibility for minimally invasive procedure). Hierarchial Bayes estimation was used to estimate the utilities for each attribute level for each patient. Based on the ranges of these utilities, the relative importance of each hospital attribute was determined for each participant as a measure of the impact on patients’ choices. Results: 308 (46.3%) questionnaires were available for analysis. Of the hospital attributes that patients considered, surgery-specific information on average had the highest relative importance (25.7 [23.9–27.5]), regardless of gender, age, and education. Waiting time and hospital atmosphere were considered least important. The attribute concerning the percentage of patients with “textbook outcomes” had the second greatest impact (18.3 [16.9–19.6]), which was similar for patients with different adverse outcome experience. Conclusions: Surgery-specific and quality of care information are more important than general information when patients choose between hospitals.

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Gupta, Mousumi, and Debasish Bhattacharjee. "Two Weighted Fuzzy Goal Programming Methods to Solve Multiobjective Goal Programming Problem." Journal of Applied Mathematics 2012 (2012): 1–20. http://dx.doi.org/10.1155/2012/796028.

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We propose two new methods to find the solution of fuzzy goal programming (FGP) problem by weighting method. Here, the relative weights represent the relative importance of the objective functions. The proposed methods involve one additional goal constraint by introducing only underdeviation variables to the fuzzy operatorλ(resp., 1-λ), which is more efficient than some well-known existing methods such as those proposed by Zimmermann, Hannan, Tiwari, and Mohamed. Mohamed proposed that every fuzzy linear program has an equivalent weighted linear goal program where the weights are restricted as the reciprocals of the admissible violation constants. But the above proposition of Mohamed is not always true. Furthermore, the proposed methods are easy to apply in real-life situations which give better solution in the sense that the objective values are sufficiently closer to their aspiration levels. Finally, for illustration, two real examples are used to demonstrate the correctness and usefulness of the proposed methods.

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Dong, Bo, Yang Gao, Swarup Chandra, and Latifur Khan. "Multistream Classification with Relative Density Ratio Estimation." Proceedings of the AAAI Conference on Artificial Intelligence 33 (July 17, 2019): 3478–85. http://dx.doi.org/10.1609/aaai.v33i01.33013478.

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In supervised learning, availability of sufficient labeled data is of prime importance. Unfortunately, they are sparingly available in many real-world applications. Particularly when performing classification over a non-stationary data stream, unavailability of sufficient labeled data undermines the classifier’s long-term performance by limiting its adaptability to changes in data distribution over time. Recently, studies in such settings have appealed to transfer learning techniques over a data stream while detecting drifts in data distribution over time. Here, the data stream is represented by two independent non-stationary streams, one containing labeled data instances (called source stream) having a biased distribution compared to the unlabeled data instances (called target stream). The task of label prediction under this representation is called Multistream Classification, where instances in the two streams occur independently. While these studies have addressed various challenges in the multistream setting, it still suffers from large computational overhead mainly due to frequent bias correction and drift adaptation methods employed. In this paper, we focus on utilizing an alternative bias correction technique, called relative density-ratio estimation, which is known to be computationally faster. Importantly, we propose a novel mechanism to automatically learn an appropriate mixture of relative density that adapts to changes in the multistream setting over time. We theoretically study its properties and empirically demonstrate its superior performance, within a multistream framework called MSCRDR, on benchmark datasets by comparing with other competing methods.

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Huang, Y. M. "On the General Evaluation of Customer Requirements During Conceptual Design." Journal of Mechanical Design 121, no. 1 (March 1, 1999): 92–97. http://dx.doi.org/10.1115/1.2829435.

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Customer requirements must be satisfied for a product to succeed in the market. Evaluation of customer requirements plays an important role during the conceptual design phase of various design methodologies. However, since customer requirements are continuously revised during design processes, much effort, time, and money are required. Twenty items are recommended to organize customer requirements and enhance efficiency. The relative importance of these recommended items, without regard to the product, is evaluated by using the pairs comparison method. The weighting factors for all recommended items are then calculated. The relative importance of the items shows that safety, quality, environment and performance are the most important. The relative importance and the weighting factors of the items from this study suggest that their use in the process during preliminary or lead time conceptual design of various design methods can assist with cost and time reductions.

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Salleh, Nor Aini, Nur Raihan Murtadza, Noraini Johari, and Yuhainis Abdul Talib. "Relative Importance Analysis of Purchasing Decision Factors for Residential Properties in Bandar Seri Iskandar, Perak, Malaysia." Environment-Behaviour Proceedings Journal 4, no. 11 (July 14, 2019): 159. http://dx.doi.org/10.21834/e-bpj.v4i11.1648.

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A limited supply of houses and a rapidly increasing population have caused house prices to skyrocket. The main objective of this study is to understand the consistency in purchasing residential properties among homebuyers in Seri Iskandar, Perak. The questionnaires distributed to a sample of 110 respondents in Bandar Seri Iskandar. The analysis methods are the Relative Importance Index and Descriptive Analysis. This study revealed that the most significant factors influencing home buyers’ purchase decisions of residential properties in Seri Iskandar is neighbourhood factors. Hence, this study is essential to improve the knowledge of the property developer for new development.Keywords: Home Ownership; Relative Importance Analysis; Purchase decision factor; Residential and property developerseISSN: 2398-4287 © 2019. The Authors. Published for AMER ABRA cE-Bs by e-International Publishing House, Ltd., UK. This is an open access article under the CC BYNC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). Peer–review under responsibility of AMER (Association of Malaysian Environment-Behaviour Researchers), ABRA (Association of Behavioural Researchers on Asians) and cE-Bs (Centre for Environment-Behaviour Studies), Faculty of Architecture, Planning & Surveying, Universiti Teknologi MARA, Malaysia.DOI: https://doi.org/10.21834/e-bpj.v4i11.1648

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Petersen, Barbara J. "The Importance of Valid and Comparable Food Consumption Data." Journal of the American College of Toxicology 15, no. 5 (October 1996): 422–29. http://dx.doi.org/10.3109/10915819609018010.

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Estimates of food consumption are a major component to the equation for estimating intake. To date, almost all data about food consumption have been generated for purposes other than estimating the intake of contaminants. Fortunately, the results can be modified to use for estimating contaminant intake. However, it is extremely important that the analyst understand the underlying survey design and make appropriate adjustments to match the contaminant concentration data. Depending on the survey methodology (disappearance, household budget, individual recalls/diaries, etc.), different methods need to be used. Key considerations, including adjustments for edible portion, waste, and processing effects are presented. Data for the food consumption patterns of subgroups are also important, and sources of information are discussed. The relative magnitude of potential biases is presented, along with recommendations for improving assessments.

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Cloutier, L. Martin, Sébastien Arcand, E. Michael Laviolette, and Laurent Renard. "Collective Economic Conceptualization of Strategic Actions by Québec Cidermakers: A Mixed Methods–Based Approach." Journal of Wine Economics 12, no. 4 (November 2017): 405–15. http://dx.doi.org/10.1017/jwe.2017.39.

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AbstractThe objective of this article is to estimate the spatial structure of the collective economic conceptualization of strategic actions by cidermakers in Québec. It employs group concept mapping, a mixed methods–based approach. Given the limited research on the economic conceptualization of horizontal coordination for guiding collective strategic action orientations, this contribution is threefold: methodological, empirical, and practical. Methodologically, the results show the perspective of horizontally coordinated cidermakers and use statistical estimates and retroduction as an inference mode to produce and structure the concept map. Empirically, the spatial economic conceptualization consists of a concept map with seven strategic action clusters organized around the notions of product supply and demand and highlights tensions between individual and collective strategic actions. Practically, measures of relative importance and relative feasibility are obtained for each cluster on the map, and implications are discussed. (JEL Classifications: D02, L23, L26, L66, Q18)

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Fedyaeva, VK, VV Omelyanovskiy, OY Rebrova, and K. Marsh. "Comparison of Methods to Assess the Relative Importance of Criteria in Multi-Criteria Decision Analysis: An Evaluation of Orphan Drugs in Russia." Value in Health 19, no. 7 (November 2016): A596. http://dx.doi.org/10.1016/j.jval.2016.09.1438.

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Simpson, Paul, Rosy Tirimacco, Penelope Cowley, May Siew, Narelle Berry, Jill Tate, and Philip Tideman. "A comparison of cardiac troponin T delta change methods and the importance of the clinical context in the assessment of acute coronary syndrome." Annals of Clinical Biochemistry: International Journal of Laboratory Medicine 56, no. 6 (September 30, 2019): 701–7. http://dx.doi.org/10.1177/0004563219876671.

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Background The management of patients presenting with symptoms suggestive of acute coronary syndrome is a significant challenge for clinicians. Guidelines for the diagnosis of acute myocardial infarction require a rise and/or fall of cardiac troponin, along with other criteria. Knowing what constitutes a significant delta change from baseline is still unclear and the literature is varied. Methods We compared three methods for determining cardiac troponin delta changes (relative, absolute and z-scores) for detecting acute myocardial infarction in 806 patients presenting to an emergency department with symptoms suggestive of acute coronary syndrome. Blood specimens were collected at admission and 2, 3, 4 and 6 h postadmission and tested on the Roche Elecsys high-sensitivity troponin T assay. Results A positive diagnosis for acute myocardial infarction was found in 39 (4.8%) patients. ROC AUC showed better performance for the absolute and z-score delta change (0.959–0.988 and 0.956–0.988, respectively) compared with relative delta change (0.921–0.960) at all time points in the diagnosis of acute myocardial infarction. Optimal timing for the second sample was at 4–6 h postadmission. Conclusions Although not statistically significant, the results show a trend of absolute and z-score delta change performing better than relative delta change for the diagnosis of acute myocardial infarction. The z-score approach allows for a single cut-off value across multiple high-sensitivity assays which could be useful in the clinical setting. Our study also highlighted the importance of interpreting cardiac troponin changes in the clinical context with a combination of the patient’s clinical history and electrocardiogram.

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Akhmaltdinova, Lyudmila, Alyona Lavrinenko, and Ilya Belyayev. "Flow Cytometry in Detecting Resistant E. Coli Strains." Open Access Macedonian Journal of Medical Sciences 5, no. 5 (July 28, 2017): 592–94. http://dx.doi.org/10.3889/oamjms.2017.104.

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Antibacterial drugs are the most consumed group of drugs in the modern hospitals. Standard methods of antibiotic sensitivity are labour and time-consuming, taking up to 24 hours after the pure culture is isolated (the analysis typically lasts up to 72 hours). Working out express diagnostic methods is of importance, and studies are made in various directions. Flow cytometry in detecting resistant E.coli strains was used. Flow cytometry fluorescent dyes were used to stain viable and dead cells. For method validation, relative accuracy, relative susceptibility, relative specificity and Cohen’s kappa test were determined compared to the delusion test. Cytometry method showed acceptable results on the model of E.coli. Relative accuracy comprised 88.8%, sensitivity - 85.7%, specificity was 88.8%, Cohen’s kappa test showed value 0.524, which is a medium agreement between the measurements by different methods.

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Gurski, Bruno César, Daniela Jerszurki, and Jorge Luiz Moretti de Souza. "Alternative Methods of Reference Evapotranspiration for Brazilian Climate Types." Revista Brasileira de Meteorologia 33, no. 3 (September 2018): 567–78. http://dx.doi.org/10.1590/0102-7786333015.

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Abstract The choice of consistent alternative methods is essential for the improvement of reference evapotranspiration (ETo) estimation for different climatic regions. Due to a critical gap in knowledge concerning the most adequate alternative ETo methods for the climatic conditions in Paraná, Brazil, this study aimed to test and to evaluate the main estimation alternative methods (Thornthwaite - EToTH; Camargo - EToC; Hargreaves and Samani - EToHS; Linacre - EToL; and, Budyko - EToB) for the subtropical (Cfb) and semi-arid (Bsh) climate types in Brazil. We compared our results with standard EToPM (Penman-Monteith) estimated between 1970 and 2015, using the minimum and maximum air temperature (T), sunshine hours (n), relative humidity (RH) and wind speed (U2). Least square regression analysis of ETo estimated by alternative methods vs EToPM were used to calibrate the methods for each analyzed climate type. The performance of calibrated and noncalibrated methods was evaluated by index of agreement “d” and performance “c”, root mean square error (RMSE) and mean error (ME). Our results showed the importance of calibration process of alternative methods for the improvement of ETo estimations in Brazil. The Hargreaves and Samani and Linacre calibrated methods showed better performance in the subtropical and semi-arid climates, respectively. Also, the Linacre and Budyko calibrated methods were particularly robust in subtropical and semi-arid climates, outlining the importance of continuous measurements of T used in the EToL and EToB modeling effort. The results presented here showed the importance to calibrate the alternative methods on ETo estimations and outlined the need for improvement and proposition of new ETo methods based on a limited number of climatic variables commonly available in subtropical and semi-arid climates in Brazil.

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Kosasih, Wilson, Iphov Kumala Sriwana, and Rico Adhesi. "Integrasi E-Servqual, Model Kano, dan HOQ dalam Meningkatkan Kepuasan Pelanggan Jasa Ojek Online." Jurnal Rekayasa Sistem Industri 9, no. 3 (October 27, 2020): 163–70. http://dx.doi.org/10.26593/jrsi.v9i3.4043.163-170.

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Online motorcycle taxi service providers become business opportunities that grow and develop. The development of digital business opportunities is also supported by the increasingly widespread service users. This research aims to determine the characteristics of online motorcycle taxi service users and the attributes that are priority for users. In this study, several methods are used and integrated include: e-ServQual, IPA (importance-performance analysis), Kano Model, and House of Quality. The measurement result of the consumer satisfaction index is 55.58%, meaning that the consumers are quite satisfied with the online service. Based on the findings of this study, the attributes prioritized by consumers are the punctuality of the driver's arrival as stated in the application (attribute 14), the driver confirms the customer's order quickly (attribute 15), and the driver is easy to obtain (attribute 17). Finally, this study also recommends corrective actions to these service providers, among others: maintaining server reliability with a relative importance of 21.4%, regularly conducting driver training with a relative importance of 15.2%, and increasing the number of drivers with a relative importance 4.3%.

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Journal articles on the topic 'Relative importance methods'

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