Stratified Unified Ranked Set Samplingfor Asymmetric Distributions
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Creator Chainarong Peanpaylun
Title Stratified Unified Ranked Set Samplingfor Asymmetric Distributions
Contributor Chanankarn Saengprasan
Publisher Faculty of Science and Technology, Suan Sunandha Rajabhat University
Publication Year 2563
Journal Title Suan Sunandha Science and Technology Journal
Journal Vol. 7
Journal No. 1
Page no. 30 to 33
Keyword simple random sampling, ranked set sampling, unified ranked set sampling,stratified unified ranked set sampling
URL Website www.ssstj.sci.ssru.ac.th
Website title Suan Sunandha Science and Technology Journal (SSSTJ)
ISSN 2351-0889
Abstract The purposes of this study are to propose a modified ranked set sampling, which is called stratifiedunified ranked set sampling (SURSS), for estimating the population mean and compare the efficiency of theempirical mean estimator based on SURSS with their counterparts in simple random sampling (SRS), stratifiedsimple random sampling ( SSRS) , and stratified ranked set sampling ( SRSS) via a simulation. We compareefficiency using criteria mean square error (MSE) and simulate the data from three asymmetric distributions:Exponential (1), Geometric (0.5), and Gamma (1, 2). It is found that the estimator in SURSS provides more efficientthan their counterparts in SRS, SSRS, and SRSS for three parent asymmetric distributions with small sample size.For the larger sample size, the proposed estimator in SURSS still provide more efficient than SRS, but it givesmore efficient than SSRS and SRSS in some cases.
Suan Sunandha Science and Technology Journal

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