On The Bayesian Estimation of Parameters of SQDM

 

Murtada Ali Maqdisi

College of Pharmacy, AL-Farahidi University, Baghdad, Iraq

maqdisidrmurtada@uoalfarahidi.edu.iq

 

 

Abstract

                                    

This work is concerned with the problem of estimating parameters of spatial quadratic models by Bayesian technique (SQDM). This technique involves the prior information of the first and second moment of the parameters, where its estimation model is called the Bayesian quadratic unbiased estimator. The results of the estimation are taken in compared with the estimates of minimum norm quadratic unbiased estimators.

 

Keywords: Bayesian estimation; Parameter; Estimation; Estimator