Estimation of mean squared error of model-based small area estimators

Test ◽  
2010 ◽  
Vol 20 (2) ◽  
pp. 367-388 ◽  
Author(s):  
Gauri Sankar Datta ◽  
Tatsuya Kubokawa ◽  
Isabel Molina ◽  
J. N. K. Rao
Keyword(s):  
Small Area ◽  
Mean Squared Error ◽  
Model Based ◽  
Squared Error

Bootstrap mean squared error of a small-area EBLUP

2008 ◽  
Vol 78 (5) ◽  
pp. 443-462 ◽  
Author(s):  
W. González-Manteiga ◽  
M. J. Lombardía ◽  
I. Molina ◽  
D. Morales ◽  
L. Santamaría
Keyword(s):  
Small Area ◽  
Mean Squared Error ◽  
Squared Error

Mean squared error estimators of small area means using survey weights

2010 ◽  
Vol 38 (4) ◽  
pp. 598-608 ◽  
Author(s):  
Mahmoud Torabi ◽  
Jon N. K. Rao
Keyword(s):  
Small Area ◽  
Mean Squared Error ◽  
Error Estimators ◽  
Squared Error

scholarly journals PENERAPAN METODE PENDUGAAN AREA KECIL (SMALL AREA ESTIMATION) PADA PENENTUAN PROPORSI RUMAH TANGGA MISKIN DI KABUPATEN KLUNGKUNG

2013 ◽  
Vol 2 (3) ◽  
pp. 35 ◽  
Author(s):  
PUTU EKA ARIWIJAYANTHI ◽  
I WAYAN SUMARJAYA ◽  
TJOKORDA BAGUS OKA
Keyword(s):  
Small Area ◽  
Empirical Bayes ◽  
Mean Squared Error ◽  
Estimation Method ◽  
Parameter Estimates ◽  
Bayes Methods ◽  
Mean Squared Errors ◽  
Direct Estimation ◽  
Squared Error ◽  
Empirical Bayes Methods

Small area is an area with insufficient sample for direct estimation. Limited survey objects, cause direct estimation can not produce better parameter estimates. Based on this, an indirect estimation method called empirical Bayes is used to obtain a better estimate. This study will compare means squared error by  direct estimation method and empirical Bayes method to find a better method on a small area. Jackknife is used to get the means squared error in the empirical Bayes. The results is, empirical Bayes methods give a better parameters based on mean squared errors. Empirical Bayes can produce a smaller mean squared error more than direct estimation in small area.

Estimation of the mean squared error of predictors of small area linear parameters under a logistic mixed model

2007 ◽  
Vol 51 (5) ◽  
pp. 2720-2733 ◽  
Author(s):  
W. González-Manteiga ◽  
M.J. Lombardía ◽  
I. Molina ◽  
D. Morales ◽  
L. Santamaría
Keyword(s):  
Small Area ◽  
Mixed Model ◽  
Mean Squared Error ◽  
Squared Error ◽  
The Mean
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