Small area estimation: the EBLUP estimator based on spatially correlated random area effects
- Monica Pratesi
- Nicola Salvati
DOIAbstract
Small area estimation, Spatial correlation, SAR model, Spatial EBLUP, Lattice data,
Small area estimation, Spatial correlation, SAR model, Spatial EBLUP, Lattice data,
The problem of Small Area Estimation is about how to produce reliable estimates of domain characteri...
In small area estimation direct survey estimates that rely only on area-specific data can exhibit la...
In small area estimation direct survey estimates that rely only on area-specific data can exhibit la...
This work applies the Fay-Herriot model in which spatial information is introduced as auxiliary vari...
This paper deals with small area indirect estimators under area level ran- dom effect models when on...
Abstract: Small area indirect estimators are often based on area level random effects models. Under ...
• This paper approaches the problem of small area estimation in the framework of spatially correlate...
This article describes the combination of small area estimator and a simultaneously autoregressive (...
Not Available: In this paper, we describe small area estimation (SAE) under a spatial dependent rand...
Linear mixed models underpin many small area estimation (SAE) methods. In this paper we investigate ...
This article is a contribution to the discussion on the utility of spatial models in the context of ...
Linear mixed models underpin many small area estimation (SAE) methods. In this paper we investigate ...
Abstract: Small area model that relates direct estimator to area specific auxiliary variables has be...
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...
The problem of Small Area Estimation is about how to produce reliable estimates of domain characteri...
In small area estimation direct survey estimates that rely only on area-specific data can exhibit la...
In small area estimation direct survey estimates that rely only on area-specific data can exhibit la...
This work applies the Fay-Herriot model in which spatial information is introduced as auxiliary vari...
This paper deals with small area indirect estimators under area level ran- dom effect models when on...
Abstract: Small area indirect estimators are often based on area level random effects models. Under ...
• This paper approaches the problem of small area estimation in the framework of spatially correlate...
This article describes the combination of small area estimator and a simultaneously autoregressive (...
Not Available: In this paper, we describe small area estimation (SAE) under a spatial dependent rand...
Linear mixed models underpin many small area estimation (SAE) methods. In this paper we investigate ...
This article is a contribution to the discussion on the utility of spatial models in the context of ...
Linear mixed models underpin many small area estimation (SAE) methods. In this paper we investigate ...
Abstract: Small area model that relates direct estimator to area specific auxiliary variables has be...
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...
The problem of Small Area Estimation is about how to produce reliable estimates of domain characteri...
In small area estimation direct survey estimates that rely only on area-specific data can exhibit la...
In small area estimation direct survey estimates that rely only on area-specific data can exhibit la...
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