Relevant bibliographies by topics / Curvilinear Regression

Academic literature on the topic 'Curvilinear Regression'

Author: Grafiati
Published: 8 September 2023

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Journal articles on the topic "Curvilinear Regression"

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Naiman, Daniel Q. "Conservative Confidence Bands in Curvilinear Regression." Annals of Statistics 14, no. 3 (September 1986): 896–906. http://dx.doi.org/10.1214/aos/1176350040.

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Pereira, Dulce Gamito Santinhos, Paulo Canas Rodrigues, Iwona Mejza, Stanislaw Mejza, and João Tiago Mexia. "Analyzing genotype-by-environment interaction using curvilinear regression." Scientia Agricola 69, no. 6 (December 2012): 357–63. http://dx.doi.org/10.1590/s0103-90162012000600003.

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Marjoribanks, Kevin. "Sibling Dilution Hypothesis: A Regression Surface Analysis." Psychological Reports 89, no. 1 (August 2001): 33–40. http://dx.doi.org/10.2466/pr0.2001.89.1.33.

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This study examined relationships between sibship size (the number of children in a family), birth order, and measures of academic performance, academic self-concept, and educational aspirations at different levels of family educational resources. As part of a national longitudinal study of Australian secondary school students data were collected from 2,530 boys and 2,450 girls in Years 9 and 10. Regression surfaces were constructed from models that included terms to account for linear, interaction, and curvilinear associations among the variables. Analysis suggests the general propositions (a) family educational resources have significant associations with children's school-related outcomes at different levels of sibling variables, the relationships for girls being curvilinear, and (b) sibling variables continue to have small significant associations with affective and cognitive outcomes, after taking into account variations in family educational resources. That is, the investigation provides only partial support for the sibling dilution hypothesis.
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Xie, Lei, Shaoping Qiu, and Xinyi Bian. "The curvilinear relationship between servant leadership and work-family conflict: the moderating role of age in Chinese female workers." Industrial and Commercial Training 53, no. 3 (June 8, 2021): 294–309. http://dx.doi.org/10.1108/ict-12-2020-0114.

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Purpose Building on social exchange theory and selection, optimization and compensation theory, this study aims to examine a moderated curvilinear relationship between servant leadership (SL) and work-family conflict (WFC). Design/methodology/approach Participants were 329 female workers recruited from a Chinese small business in the service Industry. A three-step hierarchical regression was conducted to examine the relationships among the variables and the incremental contribution of SL and age and the squared term of SL. Findings Study results confirmed a curvilinear relationship between SL and WFC and the moderating effect of age. When younger female employees perceived a moderate range of SL from their supervisors, they reported higher WFC compared to the low or high level of perceived SL. On the contrary, senior female employees reported a lower level of WFC when they perceived a moderate level of SL than when they perceived very low or high levels. Originality/value SL research has experienced a period of exponential growth in the past decade. This study advanced the field of leadership by arguing that SL perceived by female employees is curvilinearly related to WFC and the curvilinear relationship is moderated by age.
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Marjoribanks, Kevin, and Mzobanzi Mboya. "Family Correlates of South African Students' Self-Concept: A Regression Surface Analysis." Psychological Reports 83, no. 1 (August 1998): 163–72. http://dx.doi.org/10.2466/pr0.1998.83.1.163.

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This study examined relationships between family social status, perceptions of proximal family environment and students' self-concept scores. Data were collected from 189 female and 146 male 18-yr.-old South Africans. Regression surfaces were constructed from models that included terms to account for linear, interaction, and curvilinear associations among the variables. The study suggests the general propositions (a) family social status and proximal family environment combine to have large associations with students' general self-concept and small to medium associations with scores on measures of specific self-concept, (b) proximal family environment is related more strongly to self-concept scores than is family social status, (c) there are complex interaction and curvilinear relationships between family and self-concept scores, and (d) there are sex differences in the nature of the associations between family social status, proximal family environment, and students' self-concept.
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Marjoribanks, Kevin. "Perceptions of Family Environments, Educational and Occupational Outcomes: Social-Status Differences." Perceptual and Motor Skills 66, no. 1 (February 1988): 3–9. http://dx.doi.org/10.2466/pms.1988.66.1.3.

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Regression surface analysis was used to examine relations between various family environment measures and young adults' educational and occupational outcomes. Data were collected from 330 Australians as part of a 10-year longitudinal study. The regression models included terms to account for possible linear, interaction, and curvilinear relationships. In general, the analysis suggests the proposition that parents' aspirations and adolescents' perceptions of parents' support for learning have differential linear and curvilinear associations with the educational and occupational outcomes of young adults from different social-status groups.
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Choy, Youngdo, Solyoung Jung, Beomjun Park, Jin Hur, Sang ho Park, and Gi gab Yoon. "Study on the Prediction of Wind Power Outputs using Curvilinear Regression." KEPCO Journal on Electric Power and Energy 2, no. 4 (December 30, 2016): 627–30. http://dx.doi.org/10.18770/kepco.2016.02.04.627.

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Kahraman, S., M. Fener, and O. Gunaydin. "Predicting the sawability of carbonate rocks using multiple curvilinear regression analysis." International Journal of Rock Mechanics and Mining Sciences 41, no. 7 (October 2004): 1123–31. http://dx.doi.org/10.1016/j.ijrmms.2004.04.009.

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Miller, Nathan, and Frances Prevatt. "Redefining ADHD Using an Adult Population: Should Inattention be Viewed as a Separate Dimension From Cognitive and Physiological Activity Level?" Journal of Attention Disorders 24, no. 14 (October 6, 2017): 1977–88. http://dx.doi.org/10.1177/1087054717733045.

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Objective: The purpose of this study was to reexamine the latent structure of ADHD and sluggish cognitive tempo (SCT) due to issues with construct validity. Two proposed changes to the construct include viewing hyperactivity and sluggishness (hypoactivity) as a single continuum of activity level, and viewing inattention as a separate dimension from activity level. Method: Data were collected from 1,398 adults using Amazon’s MTurk. A new scale measuring activity level was developed, and scores of Inattention were regressed onto scores of Activity Level using curvilinear regression. Results: The Activity Level scale showed acceptable levels of internal consistency, normality, and unimodality. Curvilinear regression indicates that a quadratic (curvilinear) model accurately explains a small but significant portion of the variance in levels of inattention. Conclusion: Hyperactivity and hypoactivity may be viewed as a continuum, rather than separate disorders. Inattention may have a U-shaped relationship with activity level. Linear analyses may be insufficient and inaccurate for studying ADHD.
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Chrosciewicz, Z. "Prediction of forest-floor moisture content on jack pine cutovers." Canadian Journal of Forest Research 19, no. 2 (February 1, 1989): 239–43. http://dx.doi.org/10.1139/x89-033.

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Moisture contents of organic forest-floor materials were studied by strata on a clear-cut jack pine (Pinusbanksiana Lamb.) site in relation to slash distribution and changes in both duff moisture code and fine fuel moisture code, the two weather-based components of the Canadian Forest Fire Weather Index System. The best-fitting curvilinear regression (Y = a + b/X) of the duff moisture code showed distinctive patterns of variation, so that both the surface and subsurface forest-floor strata were consistently moister under slash cover than in slash openings, and for each of these two slash conditions, the subsurface forest-floor strata were consistently moister than the surface strata. Combinations of these materials down to mineral soil showed intermediate moisture contents both in slash openings and under slash cover. The straight line regression (Y = a + bX) of the fine fuel moisture code was the best-fitting moisture content relationship for the surface forest-floor materials, but only in slash openings; under slash cover, the curvilinear regression (Y = a + b/X) of the duff moisture code was more suitable. The coefficients of correlation, r, as derived from these varied regressions, were all very highly significant at P < 0.001.
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Dissertations / Theses on the topic "Curvilinear Regression"

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SARCIA', SALVATORE ALESSANDRO. "An Approach to improving parametric estimation models in the case of violation of assumptions based upon risk analysis." Doctoral thesis, Università degli Studi di Roma "Tor Vergata", 2009. http://hdl.handle.net/2108/1048.

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In this work, we show the mathematical reasons why parametric models fall short of providing correct estimates and define an approach that overcomes the causes of these shortfalls. The approach aims at improving parametric estimation models when any regression model assumption is violated for the data being analyzed. Violations can be that, the errors are x-correlated, the model is not linear, the sample is heteroscedastic, or the error probability distribution is not Gaussian. If data violates the regression assumptions and we do not deal with the consequences of these violations, we cannot improve the model and estimates will be incorrect forever. The novelty of this work is that we define and use a feed-forward multi-layer neural network for discrimination problems to calculate prediction intervals (i.e. evaluate uncertainty), make estimates, and detect improvement needs. The primary difference from traditional methodologies is that the proposed approach can deal with scope error, model error, and assumption error at the same time. The approach can be applied for prediction, inference, and model improvement over any situation and context without making specific assumptions. An important benefit of the approach is that, it can be completely automated as a stand-alone estimation methodology or used for supporting experts and organizations together with other estimation techniques (e.g., human judgment, parametric models). Unlike other methodologies, the proposed approach focuses on the model improvement by integrating the estimation activity into a wider process that we call the Estimation Improvement Process as an instantiation of the Quality Improvement Paradigm. This approach aids mature organizations in learning from their experience and improving their processes over time with respect to managing their estimation activities. To provide an exposition of the approach, we use an old NASA COCOMO data set to (1) build an evolvable neural network model and (2) show how a parametric model, e.g., a regression model, can be improved and evolved with the new project data.
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Book chapters on the topic "Curvilinear Regression"

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Cleophas, Ton J., Aeilko H. Zwinderman, and Toine F. Cleophas. "Curvilinear Regression." In Statistics Applied to Clinical Trials, 151–63. Dordrecht: Springer Netherlands, 2006. http://dx.doi.org/10.1007/978-1-4020-4650-6_13.

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Williams, R. B. G. "Curvilinear Regression." In Intermediate Statistics for Geographers and Earth Scientists, 554–95. London: Macmillan Education UK, 1986. http://dx.doi.org/10.1007/978-1-349-06813-5_9.

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Cleophas, Ton J., and Aeilko H. Zwinderman. "Curvilinear Regression." In Statistics Applied to Clinical Studies, 187–97. Dordrecht: Springer Netherlands, 2011. http://dx.doi.org/10.1007/978-94-007-2863-9_16.

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Cleophas, Ton J., Aeilko H. Zwinderman, and Toine F. Cleophas. "Curvilinear Regression." In Statistics Applied to Clinical Trials, 105–17. Dordrecht: Springer Netherlands, 2002. http://dx.doi.org/10.1007/978-94-010-0337-7_10.

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Borradaile, Graham. "Regression: Linear, Curvilinear and Multilinear." In Statistics of Earth Science Data, 133–56. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-662-05223-5_6.

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von Eye, Alexander, and Christof Schuster. "Multiple Curvilinear Regression." In Regression Analysis for Social Sciences, 143–50. Elsevier, 1998. http://dx.doi.org/10.1016/b978-012724955-1/50184-4.

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"Multiple and Curvilinear Regression." In Biostatistical Design and Analysis Using R, 208–53. Oxford, UK: Wiley-Blackwell, 2010. http://dx.doi.org/10.1002/9781444319620.ch9.

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Riffenburgh, R. H. "Multiple and Curvilinear Regression." In Statistics in Medicine, 473–89. Elsevier, 2012. http://dx.doi.org/10.1016/b978-0-12-384864-2.00022-6.

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"Simple Curvilinear Models." In Regression & Linear Modeling: Best Practices and Modern Methods, 157–92. 2455 Teller Road, Thousand Oaks California 91320: SAGE Publications, Inc, 2017. http://dx.doi.org/10.4135/9781071802724.n7.

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"Curvilinear Interactions Between Independent Variables." In Regression & Linear Modeling: Best Practices and Modern Methods, 255–82. 2455 Teller Road, Thousand Oaks California 91320: SAGE Publications, Inc, 2017. http://dx.doi.org/10.4135/9781071802724.n10.

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Conference papers on the topic "Curvilinear Regression"

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Qian, Runhua, Qixin Shi, Zhimin Wang, and Jian Lv. "Predicting the Truck Speed Based on Four Factors of Transportation Engineering: A Curvilinear Regression Model." In First International Conference on Transportation Engineering. Reston, VA: American Society of Civil Engineers, 2007. http://dx.doi.org/10.1061/40932(246)258.

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Karymshakov, Kamalbek, Burulcha Sulaimanova, and Dastan Aseinov. "Innovativeness of SMEs in Small Non-Oil Producing Post-Communist Economies." In International Conference on Eurasian Economies. Eurasian Economists Association, 2017. http://dx.doi.org/10.36880/c08.01832.

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This paper aims to study the determinants of innovation propensity of small and medium-sized enterprises (SMEs) in five small non-oil exporting Former Soviet Union countries. Empirical analysis is based on the data from the fifth wave of the Business Environment and Enterprise Performance Survey (BEEPS). Innovation of SMEs is measured by five innovation practices: innovation in goods services, process, organization, marketing and R&D spending. For each aspect of innovation bivariate regression analysis is applied. Estimation results shows that experience of managers has curvilinear effect on the innovation in SMEs. Foreign participation, export orientation and competitiveness in sectors are important for innovation.
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Rad, Dana, Alina Roman, Tiberiu Dughi, Edgar Demeter, and Gavril Rad. "The dynamics of the relationship between just-for-fun online harassment and perceived school safety." In INNODOCT 2019. Valencia: Universitat Politècnica de València, 2019. http://dx.doi.org/10.4995/inn2019.2019.10233.

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Our research team has developed the project Keeping youth safe from Cyberbullying under Erasmus+, that aims to deeper understand the dynamics of cyberbullying in online environments among youth, to develop educational resources for professionals involved in youth activities in order to prevent these type behaviours, to develop youth skills to protect themselves from cyberbullying and to disseminate findings among educational professionals. A 7 section online questionnaire was designed, aiming to gather descriptive data, general perception about the frequency and typology of cyberbullying type incidents, perceptions about the safety of the educational environment and parental support and an auto evaluation scale centred on self-efficacy perceptions. Data was collected from 92 participants. Present’s study interest is in analysing the relationship between perceived school safety and just-for-fun online harassment. In order to test our hypothesis that assumes that between perceived school safety and just-for-fun online harassment there is a dynamic relationship, we have used a confirmatory factor analysis, based on multiple regression analysis for curvilinear effects. Results confirm the dynamic relationship between perceived school safety and just-for-fun online harassment, meaning that the poorer and as well as the stronger school safety is perceived, just-for-fun online harassment is present in educational contexts; a fair school safety perception intrigues an almost non-existent just-for-fun online harassment among pupils/students. Qualitative results and cyberbullying prevention strategies are discussed.
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