Finite population prediction under dynamic generalized linear models

Abstract

Bayesian forecasting methods are applied to the analysis of repeated surveys under a dynamic exponential family superpopulation model. It is assumed that the parameters of the superpopulation model at each time period follow a stochastic model. Some numerical examples are provided to illustrate the behavior of the suggested predictors.

Keywords:

• repeated surveys
• population total
• Bayesian prediction
• dynamic exponential family superpopulation model