Abstract

In this paper we consider the optimal prediction of finite population total and variance under location model with measurement errors. Bayes predictors of population total and variance under a class of priors have been derived and a minimax predictor for population total has been obtained. Under regression superpopulation model with measurement errors, an optimal predictor of population total has been derived. A Bayesian approach for this model shows the linear regression predictor to be a Bayes predictor.

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