On comparing,classifying and clustering several dependent regression models |
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| Authors: | Mohammad Reza Mahmoudi Marziyeh Mahmoudi Abbas Pak |
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| Affiliation: | 1. Department of Statistics, Faculty of Science, Fasa University, Fasa, Iran;2. Department of Statistics, School of Mathematical Sciences, Shahrood University of Technology, Shahrood, Iran;3. Department of Computer Sciences, Shahrekord University, Shahrekord, Iran |
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| Abstract: | ![]()
Classifying several regression models fitted on a dataset is one of the most problems in data analysis. In other words, scientists are interested in comparing several regression models that can be used for a dataset. In this paper, an approach will be used to compare and classify several dependent regression models. Then the performance of the proposed method is investigated using simulation study and real example. |
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| Keywords: | Friedman test multiple regression paired samples T test repeated measures sign test test of hypothesis Wilcoxon test |
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