On comparing, classifying and clustering several dependent regression models

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.

KEYWORDS:

• Friedman test
• multiple regression
• paired samples T test
• repeated measures
• sign test
• test of hypothesis
• Wilcoxon test

Disclosure statement

No potential conflict of interest was reported by the authors.