Spatial Empirical Best Linear Unbiased Prediction in Small Area Estimation of Poverty-Reference-Cited by-同舟云学术

Spatial Empirical Best Linear Unbiased Prediction in Small Area Estimation of Poverty

Published:2018 Issue: Volume:135 Page:712-718
ISSN:1877-0509
Container-title:Procedia Computer Science
language:en
Short-container-title:Procedia Computer Science

Author:

Pusponegoro Novi Hidayat,Rachmawati Ro’fah Nur

Publisher

Elsevier BV

Subject

General Engineering

Reference17 articles.

1. Small Area Estimation: An Appraisal.;Ghosh;Statistical Science,1994

2. Small Area Estimation;Rao,2003

3. Estimation of income from small places: an application of James –stein procedures to census data.;Fay;Journal of American Statistical Association,1979

4. Small area estimation by spatial models: the spatial empirical best linear unbiased prediction (Spatial EBLUP).;Salvati,2004

5. Geographic information in small area estimation: small area models and spatially correlated random area eﬀects.;Petrucci;Statistics in Transition,2005

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