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Testing the equality of two independent regression models

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  • Mohammad Reza Mahmoudi
  • Mohsen Maleki
  • Abbas Pak

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.

Suggested Citation

  • Mohammad Reza Mahmoudi & Mohsen Maleki & Abbas Pak, 2018. "Testing the equality of two independent regression models," Communications in Statistics - Theory and Methods, Taylor & Francis Journals, vol. 47(12), pages 2919-2926, June.
    • Handle: RePEc:taf:lstaxx:v:47:y:2018:i:12:p:2919-2926
    DOI: 10.1080/03610926.2017.1343847
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    Cited by:

    1. Mahmoudi, Mohammad Reza & Baleanu, Dumitru & Mansor, Zulkefli & Tuan, Bui Anh & Pho, Kim-Hung, 2020. "Fuzzy clustering method to compare the spread rate of Covid-19 in the high risks countries," Chaos, Solitons & Fractals, Elsevier, vol. 140(C).
    2. Mohammad Mehdi Roshani & Seyed Hamidreza Kargar & Visar Farhangi & Moses Karakouzian, 2021. "Predicting the Effect of Fly Ash on Concrete’s Mechanical Properties by ANN," Sustainability, MDPI, vol. 13(3), pages 1-16, January.

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