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:: Volume 14, Issue 2 (2-2021) ::
J. of Stat. Sci. 2021, 14(2): 535-548 Back to browse issues page
The Population Mean Estimators by using Judgment Post Stratification in Stratified Sampling
Ali Najafi Majid Abadi, Nader Nematollahi
Abstract:   (513 Views)
Judgment post-stratification is a method of using additional information of ranking in the simple random sampling, to increase the efficiency of the estimators of population parameters. In this paper, we use judgment post-stratification instead of simple random sampling in stratums of stratified sampling, and present new estimators for population mean. Then, we compare the proposed estimators with random stratified mean estimator by using a simulation study. The simulation results show that the proposed estimators perform better than the random stratified mean estimator in most of the cases. 
Keywords: Judgment Post-Stratification Method, Efficiency, Simple Random Sampling, Stratified Sampling.
Full-Text [PDF 234 kb]   (42 Downloads)    
Type of Study: Applied | Subject: Sampling
Received: 2019/07/3 | Accepted: 2020/05/21 | Published: 2021/02/28
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Najafi Majid Abadi A, Nematollahi N. The Population Mean Estimators by using Judgment Post Stratification in Stratified Sampling. J. of Stat. Sci.. 2021; 14 (2) :535-548
URL: http://jss.irstat.ir/article-1-671-en.html


Volume 14, Issue 2 (2-2021) Back to browse issues page
مجله علوم آماری – نشریه علمی پژوهشی انجمن آمار ایران Journal of Statistical Sciences
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