Add to ORKGThe problem of Small Area Estimation is about how to produce reliable estimates of domain characteristics when the sample sizes within the domain is very small ou even zero
Model based small area estimation relies on mixed effects regression models that link the small area...
Over the last three decades, mixed models have been frequently used in a wide range of small area ap...
Linear mixed models underpin many small areas estimation (SAE) methods. In this paper with investiga...
The problem of Small Area Estimation is about how to produce reliable estimates of domain characteri...
Not AvailableSurvey data often contain measurements for variables that are semicontinuous in nature,...
In this article small area estimation with multivariate data that follow a monotonic missing sample ...
This is the theory component of the report on small area estimation theory that was prepared as part...
Mixed Models have been shown to be useful for improving the efficiency of the small area estimates. ...
Small area estimation has long been a popular and important research topic in survey statistics. For...
Linear mixed models underpin many small area estimation (SAE) methods. In this paper we investigate ...
Linear mixed models underpin many small area estimation (SAE) methods. In this paper we investigate ...
Small area estimation based on linear mixed models can be inefficient when the underlying relationsh...
A practical application of small area estimation in the National Resources Inventory, a large survey...
Agencies and policy makers are interested in constructing reliable estimates for areas with small sa...
Small Area Estimation is concerned with producing estimates of descriptive quantities of sub-populat...
Model based small area estimation relies on mixed effects regression models that link the small area...
Over the last three decades, mixed models have been frequently used in a wide range of small area ap...
Linear mixed models underpin many small areas estimation (SAE) methods. In this paper with investiga...
The problem of Small Area Estimation is about how to produce reliable estimates of domain characteri...
Not AvailableSurvey data often contain measurements for variables that are semicontinuous in nature,...
In this article small area estimation with multivariate data that follow a monotonic missing sample ...
This is the theory component of the report on small area estimation theory that was prepared as part...
Mixed Models have been shown to be useful for improving the efficiency of the small area estimates. ...
Small area estimation has long been a popular and important research topic in survey statistics. For...
Linear mixed models underpin many small area estimation (SAE) methods. In this paper we investigate ...
Linear mixed models underpin many small area estimation (SAE) methods. In this paper we investigate ...
Small area estimation based on linear mixed models can be inefficient when the underlying relationsh...
A practical application of small area estimation in the National Resources Inventory, a large survey...
Agencies and policy makers are interested in constructing reliable estimates for areas with small sa...
Small Area Estimation is concerned with producing estimates of descriptive quantities of sub-populat...
Model based small area estimation relies on mixed effects regression models that link the small area...
Over the last three decades, mixed models have been frequently used in a wide range of small area ap...
Linear mixed models underpin many small areas estimation (SAE) methods. In this paper with investiga...