Add to ORKGThis is the review component of the report on small area estimation theory that was prepared as part of Southampton’s involvement in the EURAREA “Enhancing small area estimation techniques to meet European Needs” project IST 2000-26290 in the European Union’s Fifth Research And Technological Development Framework Programme
A spatial regression model in a general mixed effects model framework has been proposed for the smal...
• This paper approaches the problem of small area estimation in the framework of spatially correlate...
Small area estimation has long been a popular and important research topic in survey statistics. For...
This is the theory component of the report on small area estimation theory that was prepared as part...
The purpose of this paper is to provide a critical review of the main advances in small area estimat...
Mixed Models have been shown to be useful for improving the efficiency of the small area estimates. ...
Small area estimation in sample surveys can be addressed using mixed models for binary data. Methods...
Small area estimation techniques have got a lot of attention during the last decades due to their im...
The purpose of this paper is to review and discuss some of the new important developments in small a...
Over the last three decades, mixed models have been frequently used in a wide range of small area ap...
This report constitutes Deliverables 9.8 for Work Package 9 of the InGRID-2 project. Small area est...
The problem of Small Area Estimation is about how to produce reliable estimates of domain characteri...
Linear mixed models underpin many small areas estimation (SAE) methods. In this paper with investiga...
The author begins with a general assessment of the mission of the National Statistics Institutes (NS...
Small area estimation is a research area in official and survey statistics of great practical releva...
A spatial regression model in a general mixed effects model framework has been proposed for the smal...
• This paper approaches the problem of small area estimation in the framework of spatially correlate...
Small area estimation has long been a popular and important research topic in survey statistics. For...
This is the theory component of the report on small area estimation theory that was prepared as part...
The purpose of this paper is to provide a critical review of the main advances in small area estimat...
Mixed Models have been shown to be useful for improving the efficiency of the small area estimates. ...
Small area estimation in sample surveys can be addressed using mixed models for binary data. Methods...
Small area estimation techniques have got a lot of attention during the last decades due to their im...
The purpose of this paper is to review and discuss some of the new important developments in small a...
Over the last three decades, mixed models have been frequently used in a wide range of small area ap...
This report constitutes Deliverables 9.8 for Work Package 9 of the InGRID-2 project. Small area est...
The problem of Small Area Estimation is about how to produce reliable estimates of domain characteri...
Linear mixed models underpin many small areas estimation (SAE) methods. In this paper with investiga...
The author begins with a general assessment of the mission of the National Statistics Institutes (NS...
Small area estimation is a research area in official and survey statistics of great practical releva...
A spatial regression model in a general mixed effects model framework has been proposed for the smal...
• This paper approaches the problem of small area estimation in the framework of spatially correlate...
Small area estimation has long been a popular and important research topic in survey statistics. For...