Add to ORKGEmpirical Bayes techniques are applied to the problem of "small area " estimation of proportions. Such methods have been previously used to advantage in a variety of situations, as described, for example, by Morris (1983). The basic idea here consists of incorporating rando
University of Minnesota Ph.D. dissertation. July 2012. Major: Statistics. Advisor: Professor Glen Me...
For the last 25 years the special problems of deriving estimates for small areas or domains (subsets...
National statistical bureaus often provide estimates of dierent small area indicators (e.g., unemplo...
SUMMARY. Direct survey estimators for small areas are often unstable due to the small (or nonexisten...
Due to the nature of survey design, the estimation of parameters associated with small areas is extr...
Empirical Bayes approaches have often been applied to the problem of estimating small-area parameter...
The importance of small area estimation as a facet of survey sampling cannot be over-emphasized. Of ...
Bayesian approach in Small Area Estimation (SAE), namely Empirical Bayes (EB) and Hierarchical Bayes...
We compare a set of empirical Bayes and composite estimators of the population means of the district...
This dissertation concerns two problems in survey sampling: (a) small-area estimation and (b) estima...
SUMMARY. Much of the recent research on small area estimation considers estimation of parameters of ...
The sampling designs of the national surveys are usually determined so as to produce reliable estima...
The wealth of timely and detailed information provided by sample surveys (see Survey Sampling; Finit...
The importance of small area estimation in survey sampling is increasing, due to the growing deman...
In many application contexts it may be useful to adopt a measure of precision for the estimation of ...
University of Minnesota Ph.D. dissertation. July 2012. Major: Statistics. Advisor: Professor Glen Me...
For the last 25 years the special problems of deriving estimates for small areas or domains (subsets...
National statistical bureaus often provide estimates of dierent small area indicators (e.g., unemplo...
SUMMARY. Direct survey estimators for small areas are often unstable due to the small (or nonexisten...
Due to the nature of survey design, the estimation of parameters associated with small areas is extr...
Empirical Bayes approaches have often been applied to the problem of estimating small-area parameter...
The importance of small area estimation as a facet of survey sampling cannot be over-emphasized. Of ...
Bayesian approach in Small Area Estimation (SAE), namely Empirical Bayes (EB) and Hierarchical Bayes...
We compare a set of empirical Bayes and composite estimators of the population means of the district...
This dissertation concerns two problems in survey sampling: (a) small-area estimation and (b) estima...
SUMMARY. Much of the recent research on small area estimation considers estimation of parameters of ...
The sampling designs of the national surveys are usually determined so as to produce reliable estima...
The wealth of timely and detailed information provided by sample surveys (see Survey Sampling; Finit...
The importance of small area estimation in survey sampling is increasing, due to the growing deman...
In many application contexts it may be useful to adopt a measure of precision for the estimation of ...
University of Minnesota Ph.D. dissertation. July 2012. Major: Statistics. Advisor: Professor Glen Me...
For the last 25 years the special problems of deriving estimates for small areas or domains (subsets...
National statistical bureaus often provide estimates of dierent small area indicators (e.g., unemplo...