Add to ORKGWe compare a set of empirical Bayes and composite estimators of the population means of the districts (small areas) of a country, and show that the natural modelling strategy of searching for a well fitting empirical Bayes model and using it for estimation of the area-level means can be inefficient
The importance of small area estimation as a facet of survey sampling cannot be over-emphasized. Of ...
Model-based small-area estimation methods have received considerable importance over the last two de...
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...
A method of small-area estimation with a utility function is developed. The utility characterises a ...
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...
This paper compares five small area estimators. We use Monte Carlo simulation in the context of both...
Empirical Bayes techniques are applied to the problem of "small area " estimation of propo...
SUMMARY. Direct survey estimators for small areas are often unstable due to the small (or nonexisten...
The importance of small area estimation in survey sampling is increasing, due to the growing deman...
Due to the nature of survey design, the estimation of parameters associated with small areas is extr...
For the last 25 years the special problems of deriving estimates for small areas or domains (subsets...
Statistical bureaus often deal with the problem of providing statistics for small areas. The main pr...
The importance of small area estimation as a facet of survey sampling cannot be over-emphasized. Of ...
Model-based small-area estimation methods have received considerable importance over the last two de...
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...
A method of small-area estimation with a utility function is developed. The utility characterises a ...
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...
This paper compares five small area estimators. We use Monte Carlo simulation in the context of both...
Empirical Bayes techniques are applied to the problem of "small area " estimation of propo...
SUMMARY. Direct survey estimators for small areas are often unstable due to the small (or nonexisten...
The importance of small area estimation in survey sampling is increasing, due to the growing deman...
Due to the nature of survey design, the estimation of parameters associated with small areas is extr...
For the last 25 years the special problems of deriving estimates for small areas or domains (subsets...
Statistical bureaus often deal with the problem of providing statistics for small areas. The main pr...
The importance of small area estimation as a facet of survey sampling cannot be over-emphasized. Of ...
Model-based small-area estimation methods have received considerable importance over the last two de...
Bayesian approach in Small Area Estimation (SAE), namely Empirical Bayes (EB) and Hierarchical Bayes...