Performa Restricted Maximum Likelihood and Maximum Likelihood Estimators on Small Area Estimation

被引:1
作者
Nusrang, Muhammad [1 ]
Annas, Suwardi [1 ]
Asfar [1 ]
Jajang [2 ]
机构
[1] Univ Negeri Makassar, Fac Math & Nat Sci, Dept Stat, South Sulawesi, Indonesia
[2] Jenderal Soedirman Univ, Fac Math & Nat Sci, Dept Math, Purwokerto, Indonesia
来源
2ND INTERNATIONAL CONFERENCE ON STATISTICS, MATHEMATICS, TEACHING, AND RESEARCH 2017 | 2018年 / 1028卷
关键词
D O I
10.1088/1742-6596/1028/1/012234
中图分类号
G40 [教育学];
学科分类号
040101 ; 120403 ;
摘要
In this paper, it was studied performance of maximum likelihood and restricted maximum likelihood method to estimate random factor on small area estimation To evaluate of their performances, it was used mean square error as criteria. Based on data simulation, it was found that mean square error of restricted maximum likelihood estimator smaller than ML. Therefore, it could be concluded that restricted maximum likelihood method is better than maximum likelihood. Hereafter, it was applied those methods to human development index in South Sulawesi. The result of study showed that restricted maximum likelihood method is also better than Ordinary Least Square or maximum likelihood. The results of the study on human development index data in South Sulawesi Province; Gross Regional Domestic Product is one of the components that significantly affect the human development index.
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页数:8
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