Advertisement

Design Characteristics of Predictors

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

Abstract

In the present chapter we study the properties of predictors of the population total, T, from the sampling design point of view. In particular, we focus attention on the asymptotic design unbiasedness (ADU) of the predictors. This property has been suggested by Brewer (1979) for predictors with a single auxiliary variable. A generalization of the concept to the case of several regressors was given by Wright (1983). Further extensions of the models were considered by Rodrigues and Bolfarine (1988) and by Montanari (1988). See also the studies of Tam (1988a,b) and Rodrigues and Bolfarine (1989). The ψ-model considered in this chapter is the regression model (1.2.1) with a diagonal covariance matrix V = σ2diag{v1,...,v N }.

Keywords

Linear Predictor Model Misspecification Inclusion Probability Optimal Predictor Present Chapter 
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.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

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

Personalised recommendations