The possibility of obtaining subregional estimates of different crops on the basis of a regional sample currently employed in a survey on the characteristics of Italian farms is explored. Four linear models are rested, which employ the auxiliary information coming from the individual data of the Census of Agriculture at different extents. In general, a reduction of variability, expressed by the coefficient of variation, is obtained, but the strategy to adopt is not unique: there is to consider jointly the detail of modelization, i.e. the quantity of auxiliary information to employ, the size of the subareas together with the diffusion and incidence of the particular crop
Estimation of population characteristics for sub-national domains or smaller regions can be consider...
Small area estimators are often based on linear mixed models under the assumption that relationships...
The problem of Small Area Estimation is about how to produce reliable estimates of domain characteri...
In recent years one of the most difficult problem to solve by the official statistical institutes is...
Linear mixed models underpin many small area estimation (SAE) methods. In this paper we investigate ...
Linear mixed models underpin many small area estimation (SAE) methods. In this paper we investigate ...
Survey information is commonly collected to yield estimates of quantities for large geographic areas...
In this article, Small Area Estimation under a Multivariate Linear model for repeated measures data ...
This report describes a flexible methodology for calculating spatial autoregressive model-based smal...
This paper addresses model-based procedures in data analysis for national complex data and a simulat...
Linear mixed models underpin many small area estimation (SAE) methods. In this paper we investigate ...
This is the theory component of the report on small area estimation theory that was prepared as part...
Small Area Estimation is concerned with producing estimates of descriptive quantities of sub-populat...
This dissertation considers Small Area Estimation with a main focus on estimation and prediction for...
Linear mixed models underpin many small areas estimation (SAE) methods. In this paper with investiga...
Estimation of population characteristics for sub-national domains or smaller regions can be consider...
Small area estimators are often based on linear mixed models under the assumption that relationships...
The problem of Small Area Estimation is about how to produce reliable estimates of domain characteri...
In recent years one of the most difficult problem to solve by the official statistical institutes is...
Linear mixed models underpin many small area estimation (SAE) methods. In this paper we investigate ...
Linear mixed models underpin many small area estimation (SAE) methods. In this paper we investigate ...
Survey information is commonly collected to yield estimates of quantities for large geographic areas...
In this article, Small Area Estimation under a Multivariate Linear model for repeated measures data ...
This report describes a flexible methodology for calculating spatial autoregressive model-based smal...
This paper addresses model-based procedures in data analysis for national complex data and a simulat...
Linear mixed models underpin many small area estimation (SAE) methods. In this paper we investigate ...
This is the theory component of the report on small area estimation theory that was prepared as part...
Small Area Estimation is concerned with producing estimates of descriptive quantities of sub-populat...
This dissertation considers Small Area Estimation with a main focus on estimation and prediction for...
Linear mixed models underpin many small areas estimation (SAE) methods. In this paper with investiga...
Estimation of population characteristics for sub-national domains or smaller regions can be consider...
Small area estimators are often based on linear mixed models under the assumption that relationships...
The problem of Small Area Estimation is about how to produce reliable estimates of domain characteri...