Small Area Estimation (SAE) is a part of statistical science that combines survey sampling and inference of finite populations with statistical modeling. The main objective of this paper is to analyze and test the implementation of different types of estimators of small domains in order to improve the quality of the estimates produced within the framework of the Farm Structure Survey (FSS) at NUTS III level. Under the EUROSTAT Land Use and Cover Area Statistical Survey (LUCAS) project, this is a fundamental tool for environmental studies, forestry and agricultural resource planning
This work deals with estimating the vector of means of characteristics of small areas. In this conte...
For the last 25 years the special problems of deriving estimates for small areas or domains (subsets...
Small Area Estimation Methodology (SAE) is a widely used by statistical offices in several countries...
The purpose of this paper is to provide a critical review of the main advances in small area estimat...
Linear mixed models underpin many small area estimation (SAE) methods. In this paper we investigate ...
The problem of small area estimation (SAE) is how to produce reliable estimates of characteristics o...
In recent years one of the most difficult problem to solve by the official statistical institutes is...
This report constitutes Deliverables 9.8 for Work Package 9 of the InGRID-2 project. Small area est...
It is known that direct-survey estimators of small area parameters, calculated with the data from th...
Small area estimation is a research area in official and survey statistics of great practical releva...
In the last decades policy decisions are often based on statistical measures. The more detailed this...
The wealth of timely and detailed information provided by sample surveys (see Survey Sampling; Finit...
It is known that direct-survey estimators of small area parameters, calculated with the data from th...
AbstractMultivariate Fay–Herriot models for estimating small area indicators are introduced. Among t...
This work deals with estimating the vector of means of characteristics of small areas. In this conte...
This work deals with estimating the vector of means of characteristics of small areas. In this conte...
For the last 25 years the special problems of deriving estimates for small areas or domains (subsets...
Small Area Estimation Methodology (SAE) is a widely used by statistical offices in several countries...
The purpose of this paper is to provide a critical review of the main advances in small area estimat...
Linear mixed models underpin many small area estimation (SAE) methods. In this paper we investigate ...
The problem of small area estimation (SAE) is how to produce reliable estimates of characteristics o...
In recent years one of the most difficult problem to solve by the official statistical institutes is...
This report constitutes Deliverables 9.8 for Work Package 9 of the InGRID-2 project. Small area est...
It is known that direct-survey estimators of small area parameters, calculated with the data from th...
Small area estimation is a research area in official and survey statistics of great practical releva...
In the last decades policy decisions are often based on statistical measures. The more detailed this...
The wealth of timely and detailed information provided by sample surveys (see Survey Sampling; Finit...
It is known that direct-survey estimators of small area parameters, calculated with the data from th...
AbstractMultivariate Fay–Herriot models for estimating small area indicators are introduced. Among t...
This work deals with estimating the vector of means of characteristics of small areas. In this conte...
This work deals with estimating the vector of means of characteristics of small areas. In this conte...
For the last 25 years the special problems of deriving estimates for small areas or domains (subsets...
Small Area Estimation Methodology (SAE) is a widely used by statistical offices in several countries...