Manuscript Number : IJSRSET19613
Parametric Bootstrap for Estimating Mean Square Error of Proportion in Small Area Estimation
Authors(3) :-Anggun Permatasari, Khairil Anwar Notodiputro, Erfiani
Small area estimation (SAE) is an important alternative method to obtain information in a small area when the sample size is small. In this paper, we proposed a parametric bootstrap method to estimate mean square error (MSE) of proportion based on area unit levels. The purpose of this research has been focused on applying the parametric bootstrap method to estimate MSE in SAE for zero inflated binomial models (SAE ZIB). The results showed that the bootstrap method produced a smaller MSE than the direct estimation, implying that the SAE ZIB performs better when compared to the direct estimation
Anggun Permatasari
bootstrap, mean square error, parametric, small area estimation
Publication Details
Published in :
Volume 6 | Issue 2 | March-April 2019 Article Preview
Department of Statistics, Bogor Agricultural University, Bogor, Indonesia
Khairil Anwar Notodiputro
Department of Statistics, Bogor Agricultural University, Bogor, Indonesia
Erfiani
Department of Statistics, Bogor Agricultural University, Bogor, Indonesia
Date of Publication :
2019-01-30
License: This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) :
311-315
Manuscript Number :
IJSRSET19613
Publisher : Technoscience Academy
Journal URL :
https://ijsrset.com/IJSRSET19613