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Maximum Likelihood Estimator of the Location Parameter under Moving Extremes Ranked Set Sampling Design

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文摘 Cost effective sampling design is a problem of major concern in some experiments especially when the measurement of the characteristic of interest is costly or painful or time consuming. In the current paper, a modification of ranked set sampling(RSS)called moving extremes RSS(MERSS)is considered for the estimation of the location parameter for location family. A maximum likelihood estimator(MLE)of the location parameter for this family is studied and its properties are obtained. We prove that the MLE is an equivariant estimator under location transformation. In order to give more insight into the performance of MERSS with respect to(w.r.t.)simple random sampling(SRS), the asymptotic efficiency of the MLE using MERSS w.r.t. that using SRS is computed for some usual location distributions. The relative results show that the MLE using MERSS can be real competitors to the MLE using SRS.
来源 Acta Mathematicae Applicatae Sinica-English Series ,2021,37(1):101-108 【核心库】
DOI 10.1007/s10255-021-0998-8
关键词 ranked set sampling ; moving extremes ranked set sampling ; maximum Likelihood estimator ; equivariant estimator ; fisher information number
地址

Department of Mathematics and Statistics, Jishou University, Jishou, 416000

语种 英文
文献类型 研究性论文
ISSN 0168-9673
学科 数学
基金 国家自然科学基金 ;  the Scientific Research Fund of Hunan Provincial Science and Technology Department ;  湖南省教育厅项目 ;  the Young Core Teacher Foundation of Hunan Province ;  the Fundamental Research Fund of Xiangxi Autonomous Prefecture
文献收藏号 CSCD:6915541

参考文献 共 20 共1页

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引证文献 1

1 Chen Meng Double Moving Extremes Ranked Set Sampling Design Acta Mathematicae Applicatae Sinica-English Series,2024,40(1):75-90
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