A comparison of alternative methods to construct confidence intervals for the estimate of a break date in linear regression models [PDF]
, 2015 This article considers constructing confidence intervals for the date of a structural break in linear regression models. Using extensive simulations, we compare the performance of various procedures in terms of exact coverage rates and lengths of the ...
Chang, Seong Yeon, Perron, Pierre
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Evaluation of Tree Based Regression over Multiple Linear Regression for Non-normally Distributed Data in Battery Performance [PDF]
International Conference on Intelligent Data Science Technologies and Applications, 2021 Battery performance datasets are typically non-normal and multicollinear. Extrapolating such datasets for model predictions needs attention to such characteristics. This study explores the impact of data normality in building machine learning models.
S. Chowdhury +3 more
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Acta geodynamica et geomaterialia, 2020 Uniaxial compressive strength (UCS) represents one of the key mechanical properties used to characterize rocks along with the other important properties of porosity and density. While several studies have proved the accuracy of artificial intelligence in
M. Abdelhedi
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Journal of Physics: Conference Series, 2020 Multiple regression analysis is a statistical analysis used to predict the effect of several independent variables on the dependent variable. The problem that often occurs in multiple linear regression models is multicollinearity which is a condition of ...
D. W. Wondola +2 more
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QSPR Studies of Carbonyl, Hydroxyl, Polyene Indices, and Viscosity Average Molecular Weight of Polymers under Photostabilization Using ANN and MLR Approaches [PDF]
Kemija u Industriji, 2020 One of the main disadvantages of the use of synthetic or semi-synthetic polymeric materials is their degradation and aging. The purpose of this study was to use artificial neural networks (ANN) and multiple linear regressions (MLR) to predict the ...
Hadjira Maouz +5 more
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Application of genetic algorithm - multiple linear regressions to predict the activity of RSK inhibitors [PDF]
Journal of the Serbian Chemical Society, 2015 This paper deals with developing a linear quantitative structure-activity relationship (QSAR) model for predicting the RSK inhibition activity of some new compounds.
Avval Zhila Mohajeri +3 more
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Effect of Headache on Academic Performance
Pediatric Neurology Briefs, 2012 Researchers at University of Pernambuco, Recife, Brazil interviewed 344 randomly selected, university, social communication students to determine the 1-year prevalence of headache, types of headache, and the effects on academic performance.
J Gordon Millichap
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Analyzing the effect of service quality on customer satisfaction of Islamic banking in west Java province, Indonesia [PDF]
Management Science Letters, 2019 West Java is one of the largest Muslim provinces in Indonesia. Unfortunately, the growth of Islamic banking is low compared with other provinces with the growth of 4.9 percent. This may be influenced by the poor services of the quality in Islamic Banking
Deni Kamaludin Yusup
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Beyond Multiple Linear Regression: Applied Generalized Linear Models and Multilevel Models in R
American Statistician, 2021 This book is designed for undergraduate students who have completed their first regression course and are ready for regressions with more realistic and complex data.
Youjin Lee
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JMASM41: An Alternative Method for Multiple Linear Model Regression Modeling, a Technical Combining of Robust, Bootstrap and Fuzzy Approach (SAS) [PDF]
, 2016 Research on modeling is becoming popular nowadays, there are several of analyses used in research for modeling and one of them is known as applied multiple linear regressions (MLR).
Aleng, Nor Azlida +3 more
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