Bayesian Versus Frequentist Measures of Error in Small Area Estimation
小区域估计中贝叶斯与频率学派的误差度量
Summary This paper compares analytically and empirically the frequentist and Bayesian measures of error in small area estimation. The model postulated is the nested error regression model which allows for random small area effects to represent the joint effect of small area characteristics that are not accounted for by the fixed regressor variables. When the variance components are known, then, under a uniform prior for the regression coefficients and normality of the error…