Using Bayes weights to remedy the heterogeneity problem of random error variance in linear models.

Section: Research Paper
Issue
Vol. 17 No. 2 (2020): Volume 17 Issue 2
Published
Jun 25, 2025
Pages
58-67

Abstract

In this research, it was suggested to use the InformativeBayes method in calculating the Bayes weights and use them to treat the of heterogeneity problem when estimating the linear regression model parameters using the weighted least squares method (BWLS). And compare it with the classical method through an experimental side to simulate the generated data from a normal distribution and for several different cases as well as an applied side of real data. The results of the research provided the preference of the proposed method on the classical method by relying on some statistical criteria through a program designed for this purpose in the language of MATLAB.

References

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Authors

Taha.H Ali

Department of Informatics & Statistic, College of Administration and Economics, Salahaddin University, Erbil,, Iraq

ORCID
Cheman Omar

Department of Statistics and Informatics, College of Business and Economics, Salahaddin University, Erbil, Iraq

Kamaran ahmed

Department of Statistics and Informatics, College of Business and Economics, Salahaddin University, Erbil, Iraq

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How to Cite

Ali, T., طه, Omar, C., جیمن, ahmed, K., & کارمان. (2025). Using Bayes weights to remedy the heterogeneity problem of random error variance in linear models. IRAQI JOURNAL OF STATISTICAL SCIENCES, 17(2), 58–67. Retrieved from https://rjps.uomosul.edu.iq/index.php/stats/article/view/20759