Add to ORKGSUMMARY. Much of the recent research on small area estimation considers estimation of parameters of interest simultaneously for several small or local areas. However, often the objective is to classify these areas into multiple subgroups according to some characteristic of interest, and identify those that are above or below certain threshold values. The usual Bayes estimators, namely the posterior means are often inadequate for such purposes, and need adjustment. In this article we review mainly some of the continuing work on adjusted Bayes estimators so that one can match the histogram of the posterior means with the histogram of the population parameters. The resulting estimators need further adjustment if one is interested also in the p...
Linear mixed effects models such as the Fay-Herriot model (1979) and non-linear mixed effects models...
Due to the nature of survey design, the estimation of parameters associated with small areas is extr...
For small area estimation, model based methods are preferred to the tradi-tional design based method...
Bayesian estimators of small area parameters may be very effective in improving the precision of “di...
For the last 25 years the special problems of deriving estimates for small areas or domains (subsets...
The importance of small area estimation in survey sampling is increasing, due to the growing deman...
Bayesian approach in Small Area Estimation (SAE), namely Empirical Bayes (EB) and Hierarchical Bayes...
SUMMARY. Direct survey estimators for small areas are often unstable due to the small (or nonexisten...
The sampling designs of the national surveys are usually determined so as to produce reliable estima...
University of Minnesota Ph.D. dissertation. July 2012. Major: Statistics. Advisor: Professor Glen Me...
Empirical and Hierarchical Bayes methods are often used to improve the precision design-based estima...
For small area estimation, model based methods are preferred to the traditional design based methods...
AbstractFor the well-known Fay–Herriot small area model, standard variance component estimation meth...
Empirical Bayes approaches have often been applied to the problem of estimating small-area parameter...
Empirical and Hierarchical Bayes methods are often used to improve the precision of design-based est...
Linear mixed effects models such as the Fay-Herriot model (1979) and non-linear mixed effects models...
Due to the nature of survey design, the estimation of parameters associated with small areas is extr...
For small area estimation, model based methods are preferred to the tradi-tional design based method...
Bayesian estimators of small area parameters may be very effective in improving the precision of “di...
For the last 25 years the special problems of deriving estimates for small areas or domains (subsets...
The importance of small area estimation in survey sampling is increasing, due to the growing deman...
Bayesian approach in Small Area Estimation (SAE), namely Empirical Bayes (EB) and Hierarchical Bayes...
SUMMARY. Direct survey estimators for small areas are often unstable due to the small (or nonexisten...
The sampling designs of the national surveys are usually determined so as to produce reliable estima...
University of Minnesota Ph.D. dissertation. July 2012. Major: Statistics. Advisor: Professor Glen Me...
Empirical and Hierarchical Bayes methods are often used to improve the precision design-based estima...
For small area estimation, model based methods are preferred to the traditional design based methods...
AbstractFor the well-known Fay–Herriot small area model, standard variance component estimation meth...
Empirical Bayes approaches have often been applied to the problem of estimating small-area parameter...
Empirical and Hierarchical Bayes methods are often used to improve the precision of design-based est...
Linear mixed effects models such as the Fay-Herriot model (1979) and non-linear mixed effects models...
Due to the nature of survey design, the estimation of parameters associated with small areas is extr...
For small area estimation, model based methods are preferred to the tradi-tional design based method...