Assessing the Performance of Some Ranked Set Sampling Designs Using Hybrid Approach

作     者：Mohamed.A.H.Sabry Ehab M.Almetwally Hisham M.Almongy Gamal M.Ibrahim 

作者机构：Faculty of Graduate Studies for Statistical ResearchCairo UniversityGiza12613Egypt Faculty of Business AdministrationDelta University of Science and TechnologyMansoura35511Egypt Department of StatisticsDelta University for Science and TechnologyMansouraEgypt High Institute for Management SciencesBelqas35511Egypt 

出 版 物：《Computers, Materials & Continua》 (计算机、材料和连续体（英文）)

年 卷 期：2021年第68卷第9期

页      面：3737-3753页

核心收录：

学科分类：0831[工学-生物医学工程（可授工学、理学、医学学位）] 0808[工学-电气工程] 0809[工学-电子科学与技术（可授工学、理学学位）] 08[工学] 0805[工学-材料科学与工程（可授工学、理学学位）] 0701[理学-数学] 0801[工学-力学（可授工学、理学学位）] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

主　　题：Goodness of fit ranked set sampling Weibull distribution Bayesian estimation Lindley’s approximation neoteric ranked set sampling design 

摘      要：In this paper,a joint analysis consisting of goodness-of-fit tests and Markov chain Monte Carlo simulations are used to assess the performance of some ranked set sampling *** Markov chain Monte Carlo simulations are conducted when Bayesian methods with Jeffery’s priors of the unknown parameters of Weibull distribution are used,while the goodness of fit analysis is conducted when the likelihood estimators are used and the corresponding empirical distributions are *** ranked set sampling designs considered in this research are the usual ranked set sampling,extreme ranked set sampling,median ranked set sampling,and neoteric ranked set sampling *** intensive Monte Carlo simulation study is conducted using Lindley’s approximation algorithm to compute the different designs’-based *** study showed that the dependent design“neoteric ranked set sampling designis superior to other ranked set designs and the total relative efficiency is higher than the other designs’total relative efficiency.