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IRAQI JOURNAL OF STATISTICAL SCIENCES

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

    Cheman Abubakr Omar Taha Hussein Ali Kamaran Hassan ahmed

IRAQI JOURNAL OF STATISTICAL SCIENCES, 2020, Volume 17, Issue 2, Pages 87-100
10.33899/iqjoss.2020.167391

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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.
 
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(2020). Using Bayes weights to remedy the heterogeneity problem of random error variance in linear models. IRAQI JOURNAL OF STATISTICAL SCIENCES, 17(2), 87-100. doi: 10.33899/iqjoss.2020.167391
Cheman Abubakr Omar; Taha Hussein Ali; Kamaran Hassan ahmed. "Using Bayes weights to remedy the heterogeneity problem of random error variance in linear models". IRAQI JOURNAL OF STATISTICAL SCIENCES, 17, 2, 2020, 87-100. doi: 10.33899/iqjoss.2020.167391
(2020). 'Using Bayes weights to remedy the heterogeneity problem of random error variance in linear models', IRAQI JOURNAL OF STATISTICAL SCIENCES, 17(2), pp. 87-100. doi: 10.33899/iqjoss.2020.167391
Using Bayes weights to remedy the heterogeneity problem of random error variance in linear models. IRAQI JOURNAL OF STATISTICAL SCIENCES, 2020; 17(2): 87-100. doi: 10.33899/iqjoss.2020.167391
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