Add to ORKGThis work deals with estimating the vector of means of characteristics of small areas. In this context, a unit level multivariate model with correlated sampling errors is considered. An approximation is obtained for the mean squared and cross product errors of the empirical best linear unbiased predictors of the means. This approach has been implemented on a Monte Carlo study using economic data observed for a sample of Australian farms
Small-area estimation techniques have typically relied on plug-in estimation based on models contain...
stage est imat ion. SUMMARY A model involving random effects and autocorre-lated errors is proposed ...
Estimation of population characteristics for sub-national domains or smaller regions can be consider...
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...
In this paper, we discuss the derivation of the first and second moments for the proposed small area...
In this paper, we discuss the derivation of the first and second moments for the proposed small area...
Model-based small area estimation relies on mixed effects regression models that link the small area...
Small area estimation has become a very active area of research in statistics. Many models studied i...
Agencies and policy makers are interested in constructing reliable estimates for areas with small sa...
Mixed Models have been shown to be useful for improving the efficiency of the small area estimates. ...
This chapter focuses on small area inference methods for a unit level income-type response that is s...
Small-area estimation techniques have typically relied on plug-in estimation based on models contain...
The large need for small area data and limited auxiliary information drive the development of small ...
In this article, Small Area Estimation under a Multivariate Linear model for repeated measures data ...
Small-area estimation techniques have typically relied on plug-in estimation based on models contain...
stage est imat ion. SUMMARY A model involving random effects and autocorre-lated errors is proposed ...
Estimation of population characteristics for sub-national domains or smaller regions can be consider...
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...
In this paper, we discuss the derivation of the first and second moments for the proposed small area...
In this paper, we discuss the derivation of the first and second moments for the proposed small area...
Model-based small area estimation relies on mixed effects regression models that link the small area...
Small area estimation has become a very active area of research in statistics. Many models studied i...
Agencies and policy makers are interested in constructing reliable estimates for areas with small sa...
Mixed Models have been shown to be useful for improving the efficiency of the small area estimates. ...
This chapter focuses on small area inference methods for a unit level income-type response that is s...
Small-area estimation techniques have typically relied on plug-in estimation based on models contain...
The large need for small area data and limited auxiliary information drive the development of small ...
In this article, Small Area Estimation under a Multivariate Linear model for repeated measures data ...
Small-area estimation techniques have typically relied on plug-in estimation based on models contain...
stage est imat ion. SUMMARY A model involving random effects and autocorre-lated errors is proposed ...
Estimation of population characteristics for sub-national domains or smaller regions can be consider...