Estimation Parameters Of The Multiple Regression Using Bayesian Approach Based On The Normal Conjugate Function

Abstract

In this paper, we have been used Bayes Technique depending on the normal conjugate function to estimate parameters of the multiple regression model, and we have been tested significance of this model. The test showed in the application that the mean square error (MSE) for the used model was decreasing, also it showed that the determinant coefficient is increasing highly. In the same time, value of the computed F-test was significant according to the above we can consider that the model is significant