Bayesian Estimation of Parameter of Spatial Quadratic Decay Model

This paper deals with the problem of estimating parameters of spatial quadratic model by Bayesian technique. This technique involves the prior information of the first and second moment of the parameters. This estimation model is called the Bayesian quadratic unbiased estimator, which is linear in the parameters. The results of estimation are compared with the estimates of minimum norm quadratic unbiased estimators and the results are encouraging. All algorithms of computation are written by using MatLAB programming.