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                                       Details for article 10 of 17 found articles
 
 
  Empirical bayesian prediction in the location error in variables superpopulation model
 
 
Title: Empirical bayesian prediction in the location error in variables superpopulation model
Author: Bolfarine, Heleno
Sandoval, Monica C.
Appeared in: Communications in statistics
Paging: Volume 22 (1993) nr. 2 pages 345-370
Year: 1993
Contents: Bolfarine 1991 has considered a location measurement error superpopulation model and obtained Bayes predictors of the population total and population variance under noninformative priors. In this paper, those results are first extended to the case of informative priors. Next, empirical Bayes predictors of the two population quantities are considered using the approach which has been proposed by Ghosh and Meeden in the context of repeated surveys and small area estimation. Extensions are considered to the "nonho-mogeneous" superpopulation model considered by Tiwari and Lahiri (1989). Some simulations studies which illustrate the effect of the measurement error in the proposed empirical Bayes predictors are also reported.
Publisher: Taylor & Francis
Source file: Elektronische Wetenschappelijke Tijdschriften
 
 

                             Details for article 10 of 17 found articles
 
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