Add to ORKGThis article describes the combination of small area estimator and a simultaneously autoregressive (SAR) model applied to the erosion data collected at the Rathbun Lake Watershed in Iowa (USA). The proposed methodology considers an EBLUP estimator with spatially correlated random area effects taking into account the information provided by neighboring areas. The article discusses the gain obtained from modeling the spatial correlation among small area random effects useful in representing the unexplained variation of the small area target quantities. Moreover the estimator of mean squared error of the proposed estimator is presented
This paper deals with small area indirect estimators under area level ran- dom effect models when on...
In small area estimation direct survey estimates that rely only on area-specific data can exhibit la...
Linear mixed models underpin many small areas estimation (SAE) methods. In this paper with investiga...
This work applies the Fay-Herriot model in which spatial information is introduced as auxiliary vari...
This article describes an applicationof small area estimation in a survey conducted in the Rathbun L...
Not Available: In this paper, we describe small area estimation (SAE) under a spatial dependent rand...
Abstract: Small area indirect estimators are often based on area level random effects models. Under ...
Small area estimation, Spatial correlation, SAR model, Spatial EBLUP, Lattice data,
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 ...
• This paper approaches the problem of small area estimation in the framework of spatially correlate...
Linear mixed models underpin many small area estimation (SAE) methods. In this paper we investigate ...
A spatial regression model in a general mixed effects model framework has been proposed for the smal...
Estimation of population characteristics for sub-national domains or smaller regions can be consider...
In small area estimation direct survey estimates that rely only on area-specific data can exhibit la...
This paper deals with small area indirect estimators under area level ran- dom effect models when on...
In small area estimation direct survey estimates that rely only on area-specific data can exhibit la...
Linear mixed models underpin many small areas estimation (SAE) methods. In this paper with investiga...
This work applies the Fay-Herriot model in which spatial information is introduced as auxiliary vari...
This article describes an applicationof small area estimation in a survey conducted in the Rathbun L...
Not Available: In this paper, we describe small area estimation (SAE) under a spatial dependent rand...
Abstract: Small area indirect estimators are often based on area level random effects models. Under ...
Small area estimation, Spatial correlation, SAR model, Spatial EBLUP, Lattice data,
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 ...
• This paper approaches the problem of small area estimation in the framework of spatially correlate...
Linear mixed models underpin many small area estimation (SAE) methods. In this paper we investigate ...
A spatial regression model in a general mixed effects model framework has been proposed for the smal...
Estimation of population characteristics for sub-national domains or smaller regions can be consider...
In small area estimation direct survey estimates that rely only on area-specific data can exhibit la...
This paper deals with small area indirect estimators under area level ran- dom effect models when on...
In small area estimation direct survey estimates that rely only on area-specific data can exhibit la...
Linear mixed models underpin many small areas estimation (SAE) methods. In this paper with investiga...