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Some Classical Estimation Baysian Methods and Estimation For Parameters of General Linear Regression Model (A Comparative Study With Medical Application) | ||
| TANMIYAT AL-RAFIDAIN | ||
| Article 6, Volume 27, Issue 80, 2005, Pages 91-104 PDF (130.3 K) | ||
| Document Type: Research Paper | ||
| DOI: 10.33899/tanra.2005.161592 | ||
| Authors | ||
| Safaa Y. Al-Safawy* ; Ammar H. Taha | ||
| mosul | ||
| Abstract | ||
| In this study a comparison between classical estimation and Baysian estimation have been done two ways of the classical method have been chosen namely (Ordinary least squares method) and (maximum likelihood method) and only one method of the Baysian estimation has been chosen namely (non-informative prior density function) as a result of this study we obtain the following result the estimation regression model is equal in all methods and Baysian estimation method is the more efficient way in estimation and (Ordinary least squares method) with (maximum likelihood method) are equal in efficiency. | ||
| Keywords | ||
| Classical Estimation; General Linear Regression Model | ||
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