Bayesian sample size determination for estimation of location parameter of normal distribution using loss functions

Abstract: In this paper we determine the optimal Bayesian sample size to estimate location parameter of normal distribution when the shape parameter is unknown under squared loss function and linear exponential loss function (LIENX) .In application we explain the efficient estimator under two loss functions and obtain the relationship between the sampling cost per unit and the sample size which we determine using Matlab language.