Testing the equality of two independent regression models |
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Authors: | Mohammad Reza Mahmoudi Mohsen Maleki Abbas Pak |
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Affiliation: | 1. Department of Statistics, Faculty of Science, Fasa University, Fasa, Iranmahmoudi.m.r@fasau.ac.ir;3. Department of Statistics, College of Science, Shiraz University, Shiraz, Iran;4. Department of Computer Sciences, Faculty of Mathematical Sciences, Shahrekord University, Shahrekord, Iran |
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Abstract: | In some situations, for example in agriculture, biology, hydrology, and psychology, researchers wish to determine whether the relationship between response variable and predictor variables differs in two populations. In other words, we are interested in comparing two regression models for two independent datasets. In this work, we will use the parametric and nonparametric methods to establish hypothesis testing for the equality of two independent regression models. Then the simulation study is provided to investigate the performance of the proposed method. |
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Keywords: | Multiple regression Independent Samples T Test Sign test Test of hypothesis Wilcoxon test. |
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