Open AccessEstimation Parameters Of The Multiple Regression Using Bayesian Approach Based On The Normal Conjugate Function
Author(s) -
Adel Abbood Najm,
Ahmed Hamza Abood,
Shrook A. S. Al-Sabbah
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1897/1/012007
Subject(s) - conjugate prior , mathematics , statistics , mean squared error , regression , function (biology) , regression analysis , bayes' theorem , bayesian probability , linear regression , evolutionary biology , biology
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