Ali, T., ahmed, K., Omar, C. (2020). Using Bayes weights to remedy the heterogeneity problem of random error variance in linear models. , 17(32), 87-100. doi: 10.33899/iqjoss.2020.167391
Taha Hussein Ali; Kamaran Hassan ahmed; Cheman Abubakr Omar. "Using Bayes weights to remedy the heterogeneity problem of random error variance in linear models". , 17, 32, 2020, 87-100. doi: 10.33899/iqjoss.2020.167391
Ali, T., ahmed, K., Omar, C. (2020). 'Using Bayes weights to remedy the heterogeneity problem of random error variance in linear models', , 17(32), pp. 87-100. doi: 10.33899/iqjoss.2020.167391
Ali, T., ahmed, K., Omar, C. Using Bayes weights to remedy the heterogeneity problem of random error variance in linear models. , 2020; 17(32): 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
Article 8, Volume 17, Issue 32, Autumn 2020, Page 87-100  XML PDF (824 K)
Document Type: Research Paper
DOI: 10.33899/iqjoss.2020.167391
Authors
Taha Hussein Ali ; Kamaran Hassan ahmed; Cheman Abubakr Omar
Lecturer / Salah El-Din University - College of Administration and Economics / Department of Statistics and Informatics.
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.
 
Statistics
Article View: 5
PDF Download: 11