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Asymptotic Properties in Finite Populations

  • Heleno Bolfarine
  • Shelemyahu Zacks
Part of the Springer Series in Statistics book series (SSS)

Abstract

In this chapter, we discuss limiting properties of predictors of finite population quantities. Both, the sample size and the population size should be large. Some limiting properties like consistency and asymptotic normality of certain predictors, under certain regression models, are considered. First we discuss conditions under which linear predictors of the population total T are asymptotically normal. Consistent estimators of the prediction variance are also considered. Next we investigate the limiting behavior of predictors of β N .

Keywords

Linear Regression Model Asymptotic Property Asymptotic Distribution Asymptotic Normality Consistent Estimator 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag New York Inc. 1992

Authors and Affiliations

  • Heleno Bolfarine
    • 1
  • Shelemyahu Zacks
    • 2
  1. 1.Department of Statistics, Institute of Mathematics and StatisticsUniversity of Sao PauloSao PauloBrazil
  2. 2.Department of Mathematical SciencesState University of New York at BinghamtonBinghamtonUSA

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