Widiarti, Widiarti and Warsono, Warsono and Suharsono, Suharsono and Usman, Mustofa and Malinda T, Shela (2018) ESTIMATING THE PROPORTION IN SMALL AREA. Sci.Int.(Lahore),30(4),523-527 ,2018, 30 (4). pp. 523-527. ISSN ISSN 1013-5316;CODEN: SINTE 8

Archive (International Journal Sci.Int.(Lahore),30(4),523-527 ,2018) Search_catid=102 - Published Version Download (39kB)

Abstract

ABSTRACT: Small Area Estimation is an indirect prediction used to analyze small areas by utilizing information from larger areas. One of the methods that can be used to estimate in a small area is Hierarchical Bayes (HB). The HB method is usually used for discrete data with multilevel information. Pre-prosperous families are a type of the discrete data that can be classified into two categorical variables by using cluster analysis. In this study, the proportion of pre-prosperous families was suspected to use direct and indirect estimator methods. Analytical calculation is not possible to do on the indirect estimation due to the multidimensional integral form. The numerical calculation was done by Markov Chain Monte Carlo (MCMC) method by using R studio 1.0.143 software. The results of this study showed that the estimated value which was generated by using the indirect estimation had a smaller value when it was compared with the predicted value by using direct estimator. It meant that the indirect estimation was better to estimate the value of the proportion of the preprosperous family data. Keywords: Cluster Analysis, Hierarchical Bayes, Pre-prosperous Family, Markov Chain Montecarlo.

Item Type:	Article
Subjects:	Q Science > Q Science (General)
Divisions:	Fakultas Matematika dan Ilmu Pengetahuan Alam (FMIPA) > Prodi Matematika
Depositing User:	Dr Suharsono S
Date Deposited:	26 Oct 2018 10:03
Last Modified:	26 Oct 2018 10:03
URI:	http://repository.lppm.unila.ac.id/id/eprint/8736

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