Relevant bibliographies by topics / Linear Performance Model

Academic literature on the topic 'Linear Performance Model'

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Published: 10 December 2022
Last updated: 28 January 2023

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Journal articles on the topic "Linear Performance Model"

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Yakimoff, Naum, Stefan Mateeff, Walter H. Ehrenstein, and Joachim Hohnsbein. "Motion Extrapolation Performance: A Linear Model Approach." Human Factors: The Journal of the Human Factors and Ergonomics Society 35, no. 3 (September 1993): 501–10. http://dx.doi.org/10.1177/001872089303500307.

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Rasoava, Rijamampianina. "Executive compensation and firm performance: a non-linear relationship." Problems and Perspectives in Management 17, no. 2 (April 16, 2019): 1–17. http://dx.doi.org/10.21511/ppm.17(2).2019.01.

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In order to ensure profitability for shareholders, optimal contracting recommends the alignment between executive compensation and company performance. Large organizations have therefore adopted executives remuneration systems in order to induce positive market reaction and motivate executives. Complex compensation schemes are designed by Boards of Directors using strong pay-performance incentives that explain high levels of executive pay along with company size, demand for management skills and executive influence. However, the literature remains inconclusive on the pay-performance relationship owing to the various empirical methods used by researchers. Additionally, there has been little effort in the literature to compare methodologies on the pay-performance relationship. Using the dominant agency theory framework, the purpose of this study is to establish and examine the relationship between firm performance and executive pay. In addition, it intends to assess the characteristic of model specifications commonly adopted. To this aim, a quantitative analysis consisting of three complementary methods was performed on panel data from South African listed companies. The results of the main unrestricted first difference model indicate a strong non-linear relationship where the impact of current and previous firm performance on executive pay can be observed over 2 to 4-year period providing support to the optimal contracting theoretical perspective in the South African business context. In addition, CEO pay is more sensitive to firm performance as compared to Director pay. Lastly, although it affects executive pay levels, company size is not found to improve the pay-performance relationship.
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Johnson, Richard F. "A Log-Linear Model of Sentry Duty Performance." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 39, no. 14 (October 1995): 963. http://dx.doi.org/10.1177/154193129503901465.

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El Korso, Mohammed Nabil, Remy Boyer, Pascal Larzabal, and Bernard-Henri Fleury. "Estimation Performance for the Bayesian Hierarchical Linear Model." IEEE Signal Processing Letters 23, no. 4 (April 2016): 488–92. http://dx.doi.org/10.1109/lsp.2016.2528579.

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Saneie, Hamid, Zahra Nasiri-Gheidari, and Farid Tootoonchian. "Analytical model for performance prediction of linear resolver." IET Electric Power Applications 11, no. 8 (September 1, 2017): 1457–65. http://dx.doi.org/10.1049/iet-epa.2016.0693.

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Nevill, Alan M., and John B. Copas. "Using Generalized Linear Models (GLMs) to Model Errors in Motor Performance." Journal of Motor Behavior 23, no. 4 (December 1991): 241–50. http://dx.doi.org/10.1080/00222895.1991.9942035.

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Li, Yan-Jang, and Szu-Chi Tien. "Linear Model-based Feedforward Control for Improving Tracking-performance of Linear Motors." Asian Journal of Control 16, no. 6 (February 18, 2014): 1602–11. http://dx.doi.org/10.1002/asjc.842.

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Alberto, Chapa Martell Mario, and Hiroyuki Sato. "Linear Performance-Breakdown Model: A Framework for GPU kernel programs performance analysis." International Journal of Networking and Computing 5, no. 1 (2015): 86–104. http://dx.doi.org/10.15803/ijnc.5.1_86.

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Bivin, David G. "Gauging the performance of the linear-quadratic inventory model." Applied Economics 37, no. 11 (June 20, 2005): 1215–31. http://dx.doi.org/10.1080/00036840500118317.

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Tian, Yudong, Grey S. Nearing, Christa D. Peters-Lidard, Kenneth W. Harrison, and Ling Tang. "Performance Metrics, Error Modeling, and Uncertainty Quantification." Monthly Weather Review 144, no. 2 (February 1, 2016): 607–13. http://dx.doi.org/10.1175/mwr-d-15-0087.1.

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Abstract A common set of statistical metrics has been used to summarize the performance of models or measurements—the most widely used ones being bias, mean square error, and linear correlation coefficient. They assume linear, additive, Gaussian errors, and they are interdependent, incomplete, and incapable of directly quantifying uncertainty. The authors demonstrate that these metrics can be directly derived from the parameters of the simple linear error model. Since a correct error model captures the full error information, it is argued that the specification of a parametric error model should be an alternative to the metrics-based approach. The error-modeling methodology is applicable to both linear and nonlinear errors, while the metrics are only meaningful for linear errors. In addition, the error model expresses the error structure more naturally, and directly quantifies uncertainty. This argument is further explained by highlighting the intrinsic connections between the performance metrics, the error model, and the joint distribution between the data and the reference.
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Dissertations / Theses on the topic "Linear Performance Model"

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Sandberg, Henrik. "Model Reduction for Linear Time-Varying Systems." Doctoral thesis, Lund University, Department of Automatic Control, 2004. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-74698.

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The thesis treats model reduction for linear time-varying systems. Time-varying models appear in many fields, including power systems, chemical engineering, aeronautics, and computational science. They can also be used for approximation of time-invariant nonlinear models. Model reduction is a topic that deals with simplification of complex models. This is important since it facilitates analysis and synthesis of controllers. The thesis consists of two parts. The first part provides an introduction to the topics of time-varying systems and model reduction. Here, notation, standard results, examples, and some results from the second part of the thesis are presented. The second part of the thesis consists of four papers. In the first paper, we study the balanced truncation method for linear time-varying state-space models. We derive error bounds for the simplified models. These bounds are generalizations of well-known time-invariant results, derived with other methods. In the second paper, we apply balanced truncation to a high-order model of a diesel exhaust catalyst. Furthermore, we discuss practical issues of balanced truncation and approximative discretization. In the third paper, we look at frequency-domain analysis of linear time-periodic impulse-response models. By decomposing the models into Taylor and Fourier series, we can analyze convergence properties of different truncated representations. In the fourth paper, we use the frequency-domain representation developed in the third paper, the harmonic transfer function, to generalize Bode's sensitivity integral. This result quantifies limitations for feedback control of linear time-periodic systems.
QC 20120206
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Modin, Larsson Jim. "Predictive Accuracy of Linear Models with Ordinal Regressors." Thesis, Uppsala universitet, Statistiska institutionen, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-273958.

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This paper considers four approaches to ordinal predictors in linear regression to evaluate how these contrast with respect to predictive accuracy. The two most typical treatments, namely, dummy coding and classic linear regression on assigned level scores are compared with two improved methods; penalized smoothed coefficients and a generalized additive model with cubic splines. A simulation study is conducted to assess all on the basis of predictive performance. Our results show that the dummy based methods surpass the numeric at low sample sizes. Although, as sample size increases, differences between the methods diminish. Tendencies of overfitting are identified among the dummy methods. We conclude by stating that the choice of method not only ought to be context driven, but done in the light of all characteristics.
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Li, Xiying. "Linear Quadratic Tracking Optimum Controller Model Design to Optimize High Frequency Power Supply Performance." Youngstown State University / OhioLINK, 1999. http://rave.ohiolink.edu/etdc/view?acc_num=ysu997902765.

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Dormehl, Shilo John. "A longitudinal modelling approach for the progression of sub-elite youth swimming performance." Thesis, University of Exeter, 2016. http://hdl.handle.net/10871/25995.

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Formal long-term athlete development programmes emerged at the turn of the century and, despite some fierce criticisms, have evolved significantly since their inception. The first generation of athletes to grow up with these systems are now coming of age. The purpose of this thesis was to track a population of adolescent school-level swimmers between the ages of 12 and 18 years over an 8-year period so as to assess their performance progression as they matured under these athlete development programmes. The first study aimed to track the performances of the sub-elite athletes at an annual international school championship and to compare their progression with those of both junior elite and elite-level swimmers. In addition to narrowing the gender gap, the records of the sub-elite swimmers have continued to improve. In contrast, both of these factors remained relatively stable for junior elite and elite-level swimmers over the same period. Swimming affords athletes the possibility of within-sport specialisation. This almost unique aspect of swimming led to the two investigations of the second study. Firstly, the paired stroke combinations preferred by swimmers were determined using Cohen’s Kappa tests in a cross-sectional design. Secondly, the stability in the event selection of each swimmer during their adolescent years was explored longitudinally. Both males (33.9±5.8%) and females (36.9±6.5%) preferred to swim the 50 and 100 m freestyle events together over any other paired stroke combination. The majority of swimmers preferred to specialise in specific stroke techniques over distance specialisms with breaststroke being the only stroke in which swimmers of both sexes chose to specialise early. Most notable was that females specialised earlier than males. Studies three (males, n = 446) and four (females, n = 514) utilised mixed linear modelling to determine the quadratic functions of the performance progressions of adolescent swimmers (between the ages of 12 and 19 y) in seven individual competition events. Males progressed at more than twice the rate of females (3.5 and 1.7% per year, respectively) in all strokes over this age range. This was likely due to the fact that females reach puberty before males. Thresholds of peak performance occurred between the ages of 18.5±0.1 y (50 m freestyle and the 200 m individual medley) and 19.8±0.1 y (100 m butterfly) for males, but between the wider range of 16.8±0.2 y (200 m individual medley) and 20.6±0.1 y (100 m butterfly) for females. Using an independent sample of Dutch Junior national swimmers (n = 13), the fifth and final study aimed to evaluate the efficacy of the models developed in studies three and four as both target setting and talent identification tools. This was achieved through a mixed-methods approach where quantitative and qualitative data confirmed the applicability of the models for adolescent swimmers of any skill level. This thesis demonstrates that sub-elite swimmers have probably benefitted from first generation athlete development models. Longitudinal modelling of their data provides a valuable platform from which all adolescent swimmers can be compared and used to inform the next generation of bespoke swimming-specific youth development programmes.
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Gomes, David José. "Certificações de qualidade nos centros hospitalares portugueses : determinantes e consequências da sua adopção." Master's thesis, Instituto Superior de Economia e Gestão, 2011. http://hdl.handle.net/10400.5/4513.

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Mestrado em Contabilidade, Fiscalidade e Finanças Empresariais
A saúde é assumida como um bem público de extrema importância para os cidadãos portugueses que o contemplam na sua Constituição. Contudo a actual crise económica vivida na Europa, põe em causa a continuidade dos serviços prestados de forma tendencialmente gratuita e a sua qualidade. Neste sentido torna-se pertinente saber quais as formas de maximizar os recursos, a qualidade e a performance com os recursos disponíveis. O presente estudo debruça-se sobre as certificações de qualidade, procurando saber se estas provocam impactos positivos a nível financeiro e operacional nas unidades de saúde portuguesas. Foram abrangidas pelo estudo unidades de saúde públicas e privadas e utilizados inquéritos a directores de serviço hospitalar. Para aumentar a abrangência do estudo, foi estudada a performance das unidades de saúde através de um modelo DEA e de uma regressão linear. Quanto aos impactos financeiros foram submetidos a uma regressão linear rácios de liquidez, estrutura de capitais e rendibilidade. O estudo conclui que a resistência à mudança e os custos elevados são os maiores obstáculos à implementação de certificações de qualidade. Quanto ao maior benefício inerente a essa implementação é considerada a redução de desperdícios. Constata-se igualmente que existem algumas diferenças na maneira como as unidades de saúde EPE's e privadas encaram a problemática das certificações de qualidade. As certificações de qualidade provocam ainda melhorias na eficiência dos serviços hospitalares.
Health is viewed as a public good of great importance to the Portuguese citizens who contemplate it in its Constitution. However, the current economic crisis experienced in Europe, calls into question the continuation of underlying free services its quality. In this sense it becomes pertinent to know the ways to maximize resources, quality and performance with the available resources. This study focuses on quality certifications, wondering if they had a positive impact in financial and operational health units in Portugal. The study was covered by private and public health units and the opinion surveys to hospital service's directors. To increase the scope of the study, it was to study the health care unit's performance with a DEA model and a linear regression. For the financial impacts, some liquidity, capital structure and profitability ratios were subjected to a linear regression. The study concludes that resistance to change and the high costs are the biggest obstacles to the quality certifications implementation. As for the greatest benefit inherent in the implementation and considered waste reduction. It is also noted that there are some differences in how EPE's and private health units face the problem of quality certifications. Quality certifications also cause improvements in the hospital service's efficiency.
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Macdonald, George T. "The Performance of the Linear Logistic Test Model When the Q-Matrix is Misspecified: A Simulation Study." Scholar Commons, 2013. https://scholarcommons.usf.edu/etd/5065.

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A simulation study was conducted to explore the performance of the linear logistic test model (LLTM) when the relationships between items and cognitive components were misspecified. Factors manipulated included percent of misspecification (0%, 1%, 5%, 10%, and 15%), form of misspecification (under-specification, balanced misspecification, and over-specification), sample size (20, 40, 80, 160, 320, 640, and 1280), Q-matrix density (60% and 46%), number of items (20, 40, and 60 items), and skewness of person ability distribution (-0.5, 0, and 0.5). Statistical bias, root mean squared error, confidence interval coverage, confidence interval width, and pairwise cognitive components correlations were computed. The impact of the design factors were interpreted for cognitive components, item difficulty, and person ability parameter estimates. The simulation provided rich results and selected key conclusions include (a) SAS works superbly when estimating LLTM using a marginal maximum likelihood approach for cognitive components and an empirical Bayes estimation for person ability, (b) parameter estimates are sensitive to misspecification, (c) under-specification is preferred to over-specification of the Q-matrix, (d) when properly specified the cognitive components parameter estimates often have tolerable amounts of root mean squared error when the sample size is greater than 80, (e) LLTM is robust to the density of Q-matrix specification, (f) the LLTM works well when the number of items is 40 or greater, and (g) LLTM is robust to a slight skewness of the person ability distribution. In sum, the LLTM is capable of identifying conceptual knowledge when the Q-matrix is properly specified, which is a rich area for applied empirical research.
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Han, Jianfeng, and 韩剑峰. "Comparing the performance of SARIMA and dynamic linear model in forecasting monthly cases of mumps in Hong Kong." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2013. http://hdl.handle.net/10722/193789.

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Background To provide a reliable forecast of a disease is one of the main purpose of public health surveillance system. Basic information obtained from data collection can provide the nature knowledge of and the history pattern of a disease. In public health surveillance system, a lot of data are time series, especially for infectious diseases. SARIMA method and DLM method are both applicable tools for time series data analysis. Hong Kong has a relative low mumps prevalence. And the prevalence followed an increasing trend until 2004and kept stable after 2006. However, outbreaks may be also occurred occasionally in developed countries. Method This paper constructs SARIMA models and DLM models of monthly cases of mumps in Hong Kong based on 7 different modeling periods respectively. Then these models were used to predicting the mumps cases in each corresponding forecasting period. The forecasting performance of SARIMA models and DLM models are compared with visualization of the predicting values and three forecasting error measures: MAD, MSE, and MAPE. A forecasting of mumps cases during 2013. 07 and 2014.06 will be made with the method with better forecasting performance of mumps cases in Hong Kong Result For intervals 2009. 01 to 2009. 02, 2011. 01 to 2011. 12, and 2012. 01 to 2012. 12, the forecasts of DLM models have smaller forecasting error measures and are more closely to the real observed values. And the visualization predicting values of SARIMA and DLM models are closely for forecasting intervals 2008 and 2010, where SARIMA forecasts own smaller forecasting error measures. Compare with that based on fitting period 1997 to 2012, the forecasts obtained by the SARIMA model based on fitting period 2006 to 2012 are more close to the real observations. Both SARIMA models and DLM models based on fitting period 1997 to 2003 underestimate the observed value of 2004. 05 to 2004. 12. Conclusion DLM modeling method presents a better performance on forecasting the monthly cases of mumps in Hong Kong. And DLM method is more appropriate to be applied on the analysis of time series with count data and the research of diseases with small counts. And both SARIMA and DLM method are appropriate for analyses based on long time trend. But they are not appropriate to be applied as short time monitor tools. From the result of time series decomposition analysis result the mumps cases had a seasonal pattern, and shows that between July and the next January, the seasonal impact will contribute to the increase of case number of mumps. So it is highly suggest to recommend people under risk to practice more prevention measures to protect them against mumps infectious during that period.
published_or_final_version
Public Health
Master
Master of Public Health
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Webber, Michael L. "Phase Shift Control: Application and Performance Limitations With Respect to Thermoacoustic Instabilities." Thesis, Virginia Tech, 2003. http://hdl.handle.net/10919/36418.

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Lean premixed fuel-air conditions in large gas turbines are used to improve efficiency and reduce emissions. These conditions give rise to large undamped pressure oscillations at the combustor's natural frequencies which reduce the turbine's longevity and reliability. Active control of the pressure oscillations, called thermoacoustic instabilities, has been sought as passive abatement of these instabilities does not provide adequate damping and is often impractical on a large scale. Phase shift control of the instabilities is perhaps the simplest and most popular technique employed but often does not provide good performance in that controller induced secondary instabilities are generated with increasing loop gain.

This thesis investigates the general underlying cause of the secondary instabilities and shows that high average group delay through the frequency region of the instability is the root of the problem. This average group delay is then shown to be due not only the controller itself but can also be associated with other components and inherent characteristics of the control loop such as actuators and time delay, respectively. An "optimum" phase shift controller, consisting of an appropriate shift in phase and a low order, wide bandwidth bandpass filter, is developed for a Rijke tube combustor and shown to closely match the response of an LQG controller designed only for system stabilization. Both the optimal phase shifter and the LQG controller are developed based on a modified model of the thermoacoustic loop which takes into account the change in density of the combustion reactants at the flame location. Additionally, the system model is coupled with a model of the control loop and then validated by comparison of simulated results to experimental results using nearly identical controllers.


Master of Science
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Zhao, Zhanlue. "Performance Appraisal of Estimation Algorithms and Application of Estimation Algorithms to Target Tracking." ScholarWorks@UNO, 2006. http://scholarworks.uno.edu/td/394.

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This dissertation consists of two parts. The first part deals with the performance appraisal of estimation algorithms. The second part focuses on the application of estimation algorithms to target tracking. Performance appraisal is crucial for understanding, developing and comparing various estimation algorithms. In particular, with the evolvement of estimation theory and the increase of problem complexity, performance appraisal is getting more and more challenging for engineers to make comprehensive conclusions. However, the existing theoretical results are inadequate for practical reference. The first part of this dissertation is dedicated to performance measures which include local performance measures, global performance measures and model distortion measure. The second part focuses on application of the recursive best linear unbiased estimation (BLUE) or lineae minimum mean square error (LMMSE) estimation to nonlinear measurement problem in target tracking. Kalman filter has been the dominant basis for dynamic state filtering for several decades. Beyond Kalman filter, a more fundamental basis for the recursive best linear unbiased filtering has been thoroughly investigated in a series of papers by Dr. X. Rong Li. Based on the so-called quasirecursive best linear unbiased filtering technique, the constraints of the Kalman filter Linear-Gaussian assumptions can be relaxed such that a general linear filtering technique for nonlinear systems can be achieved. An approximate optimal BLUE filter is implemented for nonlinear measurements in target tracking which outperforms the existing method significantly in terms of accuracy, credibility and robustness.
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Fan, Meng. "Stability of Academic Performance Across Science Subjects Among Chinese Students." UKnowledge, 2013. http://uknowledge.uky.edu/edp_etds/15.

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With data describing 110,520 eighth grade students from 592 junior high (middle) schools in China, a three-level hierarchical linear model was developed in this study to create a multivariate multilevel environment to examine (a) the effects of student-level and school-level variables on science achievement in four subject areas (science inquiry skills, biology, earth science, and physics) and (b) the consistency or stability of academic achievement across the four subject areas among students and among schools. Results indicated that (a) student characteristics, including gender, parental SES, time spent in learning, and the type of family separation, were related to high academic achievement in each of the four science subject areas, (b) no school characteristics were found to be significant factors to affect students’ academic performance in any of the four science subject areas, (c) both students and schools with high academic achievement in one subject area also showed high academic achievement in other subject areas, and (d) the consistency or stability of science performance over the four subject areas did not depend on student characteristics and school characteristics.
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Books on the topic "Linear Performance Model"

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Snyder, Lloyd R. High-performance gradient elution: The practical application of the linear-solvent-strength model. Hoboken, N.J: Wiley-Interscience, 2007.

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Karagodin, Valeriy. Organization of the investigator's work. ru: INFRA-M Academic Publishing LLC., 2022. http://dx.doi.org/10.12737/1860936.

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The monograph is devoted to the organization of the investigator's own work. After analyzing the concept and structure of this line of investigative activity, practical recommendations for its implementation are offered. Serious attention is paid to the preparatory stage of labor organization, covering the assessment of the organizational and managerial situation, the design of the order of performance of official duties. Some aspects of the main stage, which consists in the implementation of the investigator's chosen model of labor organization, are also investigated. Recommendations are given taking into account the level of professional qualification of the investigator and the conditions of typical organizational and managerial situations. For employees of investigative agencies. It can be useful to students and teachers of law schools and institutions of secondary vocational education.
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Snyder, Lloyd R., and John W. Dolan. High-Performance Gradient Elution: The Practical Application of the Linear-Solvent-Strength Model. Wiley & Sons, Incorporated, John, 2007.

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Snyder, Lloyd R., and John W. Dolan. High-Performance Gradient Elution: The Practical Application of the Linear-Solvent-Strength Model. Wiley-Interscience, 2006.

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National Aeronautics and Space Administration (NASA) Staff. Development and Integration of an Advanced Stirling Convertor Linear Alternator Model for a Tool Simulating Convertor Performance and Creating Phasor Diagrams. Independently Published, 2019.

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Wright, A. G. Linear performance. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780199565092.003.0009.

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This chapter is concerned with a single consideration: the degree of proportionality between a light signal and its resulting electrical output. This is formally referred to as linearity, which depends on the suitability of the chosen PMT and the mode of operation (pulsed or analogue). Applications fall into two groups: analogue operation (DC) and transient applications. Linearity in a pulsed mode of operation concerns both pulse height (charge) and the rate of events. Generally, in the DC mode, only the mean anode current is relevant. Methods for determining both forms of non-linearity are presented, based on actual measurements. Test methods using multiple light sources, bootstrapping, single step (piggyback), and shot noise are investigated. A method for uncovering non-linearity in high-Z scintillators by using coincident gamma emissions (60Co) is demonstrated. An analytical means for correcting results at the 1 % level is provided.
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1964-, Hartley T. T., and Lewis Research Center, eds. A method for generating reduced-order linear models of multidimensional supersonic inlets. [Cleveland, Ohio]: National Aeronautics and Space Administration, Lewis Research Center, 1998.

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Impact of magnetic isolation on pointing system performance in the presence of structural flexibility. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 1985.

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Davé, Shilpa S. Epilogue. University of Illinois Press, 2017. http://dx.doi.org/10.5406/illinois/9780252037405.003.0008.

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This chapter summarizes key themes and presents some final thoughts. This book presents how racial performance of and by South Asians in American television and film acts as both an expression of privilege and difference with regards to racial identity. The progression of Indian accents, such as brownface and brown-voice performance, is not linear but, in fact, teleological as seen by the reappearance of racial stereotypes and the repetition of Indian vocal accents in different manifestations in film and television. Contemporary stories have transformed former stereotypes of the native guide and the street-wise orphan into more-modern avatars, such as Apu, the wily immigrant, and Kumar, the patriotic model-minority stoner, who are well-known American cultural icons. In a post-9/11 world where South Asians and South Asian Americans are viewed as possible national security threats, these racial performances continue to ease American anxieties about difference and promote the American Dream as one of the most valued tenets of American culture.
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Helber, Stefan. Performance Analysis of Flow Lines With Non-Linear Flow of Material. Springer-Verlag Telos, 1999.

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Book chapters on the topic "Linear Performance Model"

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Montesinos López, Osval Antonio, Abelardo Montesinos López, and Jose Crossa. "Linear Mixed Models." In Multivariate Statistical Machine Learning Methods for Genomic Prediction, 141–70. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-89010-0_5.

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AbstractThe linear mixed model framework is explained in detail in this chapter. We explore three methods of parameter estimation (maximum likelihood, EM algorithm, and REML) and illustrate how genomic-enabled predictions are performed under this framework. We illustrate the use of linear mixed models by using the predictor several components such as environments, genotypes, and genotype × environment interaction. Also, the linear mixed model is illustrated under a multi-trait framework that is important in the prediction performance when the degree of correlation between traits is moderate or large. We illustrate the use of single-trait and multi-trait linear mixed models and provide the R codes for performing the analyses.
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Benner, Peter, Enrique S. Quintana-Ortí, and Gregorio Quintana-Ortí. "Parallel Model Reduction of Large Linear Descriptor Systems via Balanced Truncation." In High Performance Computing for Computational Science - VECPAR 2004, 340–53. Berlin, Heidelberg: Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11403937_27.

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Haber, Tom, and Frank van Reeth. "Improving the Runtime Performance of Non-linear Mixed-Effects Model Estimation." In Euro-Par 2019: Parallel Processing Workshops, 560–71. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-48340-1_43.

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Evensen, Geir, Femke C. Vossepoel, and Peter Jan van Leeuwen. "A Kalman Filter with the Roessler Model." In Springer Textbooks in Earth Sciences, Geography and Environment, 131–38. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-96709-3_12.

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AbstractIn this chapter, we discuss an application of the Kalman filter on simple systems to study its behavior in linear and nonlinear situations. We will use the Roessler model, which we can configure both as a linear and nonlinear system. We start with the linear system, for which the Kalman filter provides an exact and optimal solution, and then study the extended Kalman filter’s performance in the nonlinear system.
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Lee, Hang-Lo, Won-Suh Sung, and Ki-Il Song. "Comparison Between Various Multiple Linear Regression Model for Prediction of TBM Performance." In Sustainable Civil Infrastructures, 225–33. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-95753-1_18.

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Zheng, Lin, Chaowei Qi, and Shibo Zhao. "Multivariate Passenger Flow Forecast Based on ACLB Model." In Proceeding of 2021 International Conference on Wireless Communications, Networking and Applications, 104–13. Singapore: Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-2456-9_12.

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AbstractWith the rapid increase in urban population, urban traffic problems are becoming severe. Passenger flow forecasting is critical to improving the ability of urban buses to meet the travel needs of urban residents and alleviating urban traffic pressure. However, the factors affecting passenger flow have complex non-linear characteristics, which creates a bottleneck in passenger flow prediction. Deep learning models CNN, LSTM, BISTM and the gradually emerging attention mechanism are the key points to solve the above problems. Based on summarizing the characteristics of various models, this paper proposes a multivariate prediction model ACLB to extract the nonlinear spatio-temporal characteristics of passenger flow data. We compare the performance of ACLB model with CNN, LSTM, BILSTM, CNN-LSTM, FCN-ALSTM through experiments. ACLB performance is better than other models.
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Hughes, Jack, and Dominic Orchard. "Resourceful Program Synthesis from Graded Linear Types." In Logic-Based Program Synthesis and Transformation, 151–70. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-68446-4_8.

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AbstractLinear types provide a way to constrain programs by specifying that some values must be used exactly once. Recent work on graded modal types augments and refines this notion, enabling fine-grained, quantitative specification of data use in programs. The information provided by graded modal types appears to be useful for type-directed program synthesis, where these additional constraints can be used to prune the search space of candidate programs. We explore one of the major implementation challenges of a synthesis algorithm in this setting: how does the synthesis algorithm efficiently ensure that resource constraints are satisfied throughout program generation? We provide two solutions to this resource management problem, adapting Hodas and Miller’s input-output model of linear context management to a graded modal linear type theory. We evaluate the performance of both approaches via their implementation as a program synthesis tool for the programming language Granule, which provides linear and graded modal typing.
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Touil, Khalid, Mourad Zribi, and Mohammed Benjelloun. "Performance Analysis of GPS/INS Integrated System by Using a Non-Linear Mathematical Model." In Lecture Notes in Electrical Engineering, 3–14. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-540-89859-7_1.

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Habyarimana, Ephrem, and Sofia Michailidou. "Genomic Prediction and Selection in Support of Sorghum Value Chains." In Big Data in Bioeconomy, 207–18. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-71069-9_16.

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AbstractGenomic prediction and selection models (GS) were deployed as part of DataBio project infrastructure and solutions. The work addressed end-user requirements, i.e., the need for cost-effectiveness of the implemented technologies, simplified breeding schemes, and shortening the time to cultivar development by selecting for genetic merit. Our solutions applied genomic modelling in order to sustainably improve productivity and profits. GS models were implemented in sorghum crop for several breeding scenarios. We fitted the best linear unbiased predictions data using Bayesian ridge regression, genomic best linear unbiased predictions, Bayesian least absolute shrinkage and selection operator, and BayesB algorithms. The performance of the models was evaluated using Monte Carlo cross-validation with 70% and 30%, respectively, as training and validation sets. Our results show that genomic models perform comparably with traditional methods under single environments. Under multiple environments, predicting non-field evaluated lines benefits from borrowing information from lines that were evaluated in other environments. Accounting for environmental noise and other factors, also this model gave comparable accuracy with traditional methods, but higher compared to the single environment model. The GS accuracy was comparable in genomic selection index, aboveground dry biomass yield and plant height, while it was lower for the dry mass fraction of the fresh weight. The genomic selection model performances obtained in our pilots are high enough to sustain sorghum breeding for several traits including antioxidants production and allow important genetic gains per unit of time and cost.
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Vannucci, Giulia, Anna Gottard, Leonardo Grilli, and Carla Rampichini. "Random effects regression trees for the analysis of INVALSI data." In Proceedings e report, 29–34. Florence: Firenze University Press, 2021. http://dx.doi.org/10.36253/978-88-5518-304-8.07.

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Mixed or multilevel models exploit random effects to deal with hierarchical data, where statistical units are clustered in groups and cannot be assumed as independent. Sometimes, the assumption of linear dependence of a response on a set of explanatory variables is not plausible, and model specification becomes a challenging task. Regression trees can be helpful to capture non-linear effects of the predictors. This method was extended to clustered data by modelling the fixed effects with a decision tree while accounting for the random effects with a linear mixed model in a separate step (Hajjem & Larocque, 2011; Sela & Simonoff, 2012). Random effect regression trees are shown to be less sensitive to parametric assumptions and provide improved predictive power compared to linear models with random effects and regression trees without random effects. We propose a new random effect model, called Tree embedded linear mixed model, where the regression function is piecewise-linear, consisting in the sum of a tree component and a linear component. This model can deal with both non-linear and interaction effects and cluster mean dependencies. The proposal is the mixed effect version of the semi-linear regression trees (Vannucci, 2019; Vannucci & Gottard, 2019). Model fitting is obtained by an iterative two-stage estimation procedure, where both the fixed and the random effects are jointly estimated. The proposed model allows a decomposition of the effect of a given predictor within and between clusters. We will show via a simulation study and an application to INVALSI data that these extensions improve the predictive performance of the model in the presence of quasi-linear relationships, avoiding overfitting, and facilitating interpretability.
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Conference papers on the topic "Linear Performance Model"

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Gifford, Howard C., and Zohreh Karbaschi. "Projection space model observers based on marginalized linear discriminants." In Image Perception, Observer Performance, and Technology Assessment, edited by Robert M. Nishikawa and Frank W. Samuelson. SPIE, 2018. http://dx.doi.org/10.1117/12.2293021.

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Shuang, Wang. "Research on Enterprise Innovation Performance Based on Multiple Linear Regression Model." In 2020 2nd International Conference on Economic Management and Model Engineering (ICEMME). IEEE, 2020. http://dx.doi.org/10.1109/icemme51517.2020.00057.

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Qu, Ming, David H. Archer, and Hongxi Yin. "A Linear Parabolic Trough Solar Collector Performance Model." In ASME 2007 Energy Sustainability Conference. ASMEDC, 2007. http://dx.doi.org/10.1115/es2007-36052.

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A performance model has been programmed for a solar thermal collector based on a linear parabolic trough reflector focused on a coated absorber tube enclosed in an evacuated transparent tube: a Parabolic Trough Solar Collector (PTSC). This steady state, single dimensional model is based on fundamental material and energy balances together with heat transfer correlations programmed in the Engineering Equation Solver (EES). The model considers the effects of solar intensity, incident angle, collector dimensions, material properties, fluid properties, ambient conditions, and operating conditions on the performance of the PTSC. The model has been used to size system devices, to choose proper operating conditions, and to detect possible operating problems for the solar cooling and heating system for the Intelligent Workplace (IW) at Carnegie Mellon University (CMU) in Pittsburgh. The IW installed 52 - square meter PTSCs coupled with a 16 kW absorption chiller for space cooling and heating in August of 2006. The tests on PTSC performance are now being carried out. After the model is validated by experimental data of the tests, it will be further used to improve PTSC design and to optimize system operation and control for the IW.
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Dutta, Lakshmi, and Dushmanta Kumar Das. "A Linear Model Predictive Control design for Magnetic Levitation System." In 2020 International Conference on Computational Performance Evaluation (ComPE). IEEE, 2020. http://dx.doi.org/10.1109/compe49325.2020.9200143.

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Kergonou, G., C. Christopoulos, and F. G. Canavero. "Hybridisation of non-linear behavioural models with the TLM full-field model." In 2010 IEEE 19th Conference on Electrical Performance of Electronic Packaging and Systems (EPEPS). IEEE, 2010. http://dx.doi.org/10.1109/epeps.2010.5642547.

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Elliott, James, Mark Hoemmen, and Frank Mueller. "A Numerical Soft Fault Model for Iterative Linear Solvers." In HPDC'15: The 24th International Symposium on High-Performance Parallel and Distributed Computing. New York, NY, USA: ACM, 2015. http://dx.doi.org/10.1145/2749246.2749254.

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Wagner, Michael J., and Guangdong Zhu. "A Direct-Steam Linear Fresnel Performance Model for NREL’S System Advisor Model." In ASME 2012 6th International Conference on Energy Sustainability collocated with the ASME 2012 10th International Conference on Fuel Cell Science, Engineering and Technology. American Society of Mechanical Engineers, 2012. http://dx.doi.org/10.1115/es2012-91317.

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This paper presents the technical formulation and demonstrated model performance results of a new direct-steam-generation (DSG) model in NREL’s System Advisor Model (SAM). The model predicts the annual electricity production of a wide range of system configurations within the DSG Linear Fresnel technology by modeling hourly performance of the plant in detail. The quasi-steady-state formulation allows users to investigate energy and mass flows, operating temperatures, and pressure drops for geometries and solar field configurations of interest. The model includes tools for heat loss calculation using either empirical polynomial heat loss curves as a function of steam temperature, ambient temperature, and wind velocity, or a detailed evacuated tube receiver heat loss model. Thermal losses are evaluated using a computationally efficient nodal approach, where the solar field and headers are discretized into multiple nodes where heat losses, thermal inertia, steam conditions (including pressure, temperature, enthalpy, etc.) are individually evaluated during each time step of the simulation. This paper discusses the mathematical formulation for the solar field model and describes how the solar field is integrated with the other subsystem models, including the power cycle and optional auxiliary fossil system. Model results are also presented to demonstrate plant behavior in the various operating modes.
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Johnson, David, and Damian Valles. "A Non-Linear GPU Performance Modeling Approach and Consolidated Linear Hardware Model Performance Evaluation of the LEAP Cluster." In 2020 10th Annual Computing and Communication Workshop and Conference (CCWC). IEEE, 2020. http://dx.doi.org/10.1109/ccwc47524.2020.9031282.

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Tomita, Takeo, Mamoru Takahashi, Takuo Onodera, and Hiroshi Tamura. "A simple performance prediction model of clustered linear aerospike nozzles." In 37th Joint Propulsion Conference and Exhibit. Reston, Virigina: American Institute of Aeronautics and Astronautics, 2001. http://dx.doi.org/10.2514/6.2001-3560.

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Darivianakis, Georgios, Salar Fattahi, John Lygeros, and Javad Lavaei. "High-Performance Cooperative Distributed Model Predictive Control for Linear Systems." In 2018 Annual American Control Conference (ACC). IEEE, 2018. http://dx.doi.org/10.23919/acc.2018.8431652.

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Reports on the topic "Linear Performance Model"

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Cantrell, Kirk J., R. Jeffrey Serne, and George V. Last. Applicability of the Linear Sorption Isotherm Model to Represent Contaminant Transport Processes in Site-Wide Performance Assessments. Office of Scientific and Technical Information (OSTI), September 2002. http://dx.doi.org/10.2172/956903.

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FOGWELL, T. W., and G. V. LAST. Applicability of the Linear Sorption Isotherm Model to Represent Contaminant Transport Processes in Site Wide Performance Assessments. Office of Scientific and Technical Information (OSTI), July 2003. http://dx.doi.org/10.2172/814768.

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Nishimura, Masatsugu, Yoshitaka Tezuka, Enrico Picotti, Mattia Bruschetta, Francesco Ambrogi, and Toru Yoshii. Study of Rider Model for Motorcycle Racing Simulation. SAE International, January 2020. http://dx.doi.org/10.4271/2019-32-0572.

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Various rider models have been proposed that provide control inputs for the simulation of motorcycle dynamics. However, those models are mostly used to simulate production motorcycles, so they assume that all motions are in the linear region such as those in a constant radius turn. As such, their performance is insufficient for simulating racing motorcycles that experience quick acceleration and braking. Therefore, this study proposes a new rider model for racing simulation that incorporates Nonlinear Model Predictive Control. In developing this model, it was built on the premise that it can cope with running conditions that lose contact with the front wheels or rear wheels so-called "endo" and "wheelie", which often occur during running with large acceleration or deceleration assuming a race. For the control inputs to the vehicle, we incorporated the lateral shift of the rider's center of gravity in addition to the normally used inputs such as the steering angle, throttle position, and braking force. We compared the performance of the new model with that of the conventional model under constant radius cornering and straight braking, as well as complex braking and acceleration in a single (hairpin) corner that represented a racing run. The results showed that the new rider model outperformed the conventional model, especially in the wider range of running speed usable for a simulation. In addition, we compared the simulation results for complex braking and acceleration in a single hairpin corner produced by the new model with data from an actual race and verified that the new model was able to accurately simulate the run of actual MotoGP riders.
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Allen, Luke, Joon Lim, Robert Haehnel, and Ian Detwiller. Rotor blade design framework for airfoil shape optimization with performance considerations. Engineer Research and Development Center (U.S.), June 2021. http://dx.doi.org/10.21079/11681/41037.

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A framework for optimizing rotor blade airfoil shape is presented. The framework uses two digital workflows created within the Galaxy Simulation Builder (GSB) software package. The first is a workflow enabling the automated creation of a surrogate model for predicting airfoil performance coefficients. An accurate surrogate model for the rapid generation of airfoil coefficient tables has been developed using linear interpolation techniques that is based on C81Gen and ARC2D CFD codes. The second workflow defines the rotor blade optimization problem using GSB and the Dakota numerical optimization library. The presented example uses a quasi-Newton optimization algorithm to optimize the tip region of the UH-60A main rotor blade with respect to vehicle performance. This is accomplished by morphing the blade tip airfoil shape for optimum power, subject to a constraint on the maximum pitch link load.
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Ukkusuri, Satish, Lu Ling, Tho V. Le, and Wenbo Zhang. Performance of Right-Turn Lane Designs at Intersections. Purdue University, 2021. http://dx.doi.org/10.5703/1288284317277.

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Right-turn lane (RTL) crashes are among the most key contributors to intersection crashes in the US. Different right turn lanes based on their design, traffic volume, and location have varying levels of crash risk. Therefore, engineers and researchers have been looking for alternative ways to improve the safety and operations for right-turn traffic. This study investigates the traffic safety performance of the RTL in Indiana state based on multi-sources, including official crash reports, official database, and field study. To understand the RTL crashes' influencing factors, we introduce a random effect negative binomial model and log-linear model to estimate the impact of influencing factors on the crash frequency and severity and adopt the robustness test to verify the reliability of estimations. In addition to the environmental factors, spatial and temporal factors, intersection, and RTL geometric factors, we propose build environment factors such as the RTL geometrics and intersection characteristics to address the endogeneity issues, which is rarely addressed in the accident-related research literature. Last, we develop a case study with the help of the Indiana Department of Transportation (INDOT). The empirical analyses indicate that RTL crash frequency and severity is mainly influenced by turn radius, traffic control, and other intersection related factors such as right-turn type and speed limit, channelized type, and AADT, acceleration lane and AADT. In particular, the effects of these factors are different among counties and right turn lane roadway types.
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Dassanayake, Wajira, Chandimal Jayawardena, Iman Ardekani, and Hamid Sharifzadeh. Models Applied in Stock Market Prediction: A Literature Survey. Unitec ePress, March 2019. http://dx.doi.org/10.34074/ocds.12019.

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Stock market prices are intrinsically dynamic, volatile, highly sensitive, nonparametric, nonlinear, and chaotic in nature, as they are influenced by a myriad of interrelated factors. As such, stock market time series prediction is complex and challenging. Many researchers have been attempting to predict stock market price movements using various techniques and different methodological approaches. Recent literature confirms that hybrid models, integrating linear and non-linear functions or statistical and learning models, are better suited for training, prediction, and generalisation performance of stock market prices. The purpose of this review is to investigate different techniques applied in stock market price prediction with special emphasis on hybrid models.
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Berlinski, Samuel. Helping Struggling Students and Benefiting All: Peer Effects in Primary Education. Inter-American Development Bank, May 2022. http://dx.doi.org/10.18235/0004268.

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We exploit the randomized evaluation of a remedying education intervention that improved the reading skills of low-performing third grade students in Colombia, to study whether providing educational support to low-achieving students affects the academic performance of their higher-achieving classmates. We find that the test scores of non-treated children in treatment schools increased by 0.108 of a standard deviation compared to similar children in control schools. We interpret the reduced-form effect on higher-achieving students as a spillover effect within treated schools. We then estimate a linear-in-means model of peer effects, finding that a one-standard-deviation increase in peers' contemporaneous achievement increases individual test scores by 0.679 of a standard deviation. We rule out alternative explanations coming from a reduction in class size. We explore several mechanisms, including teachers' effort, students' misbehavior, and peer-to-peer interactions. Our findings show that policies aimed at improving the bottom of the achievement distribution have the potential to generate social-multiplier effects that benefit all.
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Trefethen, L. N. Linear non-modal phenomena in numerical analysis and applied mathematics. First annual performance report, February 15, 1994--November 15, 1994. Office of Scientific and Technical Information (OSTI), November 1994. http://dx.doi.org/10.2172/10114048.

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Willner, Allan E., and Paniz Ebrahimi. Using a Recirculating Fiber Loop to Determine the Limitations Placed on Ultra-High-Performance Soliton and Linear Optical Systems by Polarization Mode Dispersion. Fort Belvoir, VA: Defense Technical Information Center, May 2003. http://dx.doi.org/10.21236/ada416674.

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Kodupuganti, Swapneel R., Sonu Mathew, and Srinivas S. Pulugurtha. Modeling Operational Performance of Urban Roads with Heterogeneous Traffic Conditions. Mineta Transportation Institute, January 2021. http://dx.doi.org/10.31979/mti.2021.1802.

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The rapid growth in population and related demand for travel during the past few decades has had a catalytic effect on traffic congestion, air quality, and safety in many urban areas. Transportation managers and planners have planned for new facilities to cater to the needs of users of alternative modes of transportation (e.g., public transportation, walking, and bicycling) over the next decade. However, there are no widely accepted methods, nor there is enough evidence to justify whether such plans are instrumental in improving mobility of the transportation system. Therefore, this project researches the operational performance of urban roads with heterogeneous traffic conditions to improve the mobility and reliability of people and goods. A 4-mile stretch of the Blue Line light rail transit (LRT) extension, which connects Old Concord Rd and the University of North Carolina at Charlotte’s main campus on N Tryon St in Charlotte, North Carolina, was considered for travel time reliability analysis. The influence of crosswalks, sidewalks, trails, greenways, on-street bicycle lanes, bus/LRT routes and stops/stations, and street network characteristics on travel time reliability were comprehensively considered from a multimodal perspective. Likewise, a 2.5-mile-long section of the Blue Line LRT extension, which connects University City Blvd and Mallard Creek Church Rd on N Tryon St in Charlotte, North Carolina, was considered for simulation-based operational analysis. Vissim traffic simulation software was used to compute and compare delay, queue length, and maximum queue length at nine intersections to evaluate the influence of vehicles, LRT, pedestrians, and bicyclists, individually and/or combined. The statistical significance of variations in travel time reliability were particularly less in the case of links on N Tryon St with the Blue Line LRT extension. However, a decrease in travel time reliability on some links was observed on the parallel route (I-85) and cross-streets. While a decrease in vehicle delay on northbound and southbound approaches of N Tryon St was observed in most cases after the LRT is in operation, the cross-streets of N Tryon St incurred a relatively higher increase in delay after the LRT is in operation. The current pedestrian and bicycling activity levels seemed insignificant to have an influence on vehicle delay at intersections. The methodological approaches from this research can be used to assess the performance of a transportation facility and identify remedial solutions from a multimodal perspective.
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