Estimation of Location and Scale Parameters in Two-Parameter Exponential Distribution Based on Ranked Set Sample

被引:8
|
作者
Sarikavanij, Sukuman [1 ,5 ]
Kasala, Subramanyam [2 ]
Sinha, Bimal K. [3 ]
Tiensuwan, Montip [4 ,5 ]
机构
[1] King Mongkuts Univ Technol Thonburi, Fac Sci, Dept Math, Bangkok, Thailand
[2] Univ N Carolina, Dept Math, Wilmington, NC 28401 USA
[3] Univ Maryland Baltimore Cty, Dept Math & Stat, Baltimore, MD 21228 USA
[4] Mahidol Univ, Fac Sci, Dept Math, Bangkok 10400, Thailand
[5] CHE, Ctr Excellence Math, Bangkok, Thailand
关键词
Generalized variance; Location and scale parameters; Ranked set sample;
D O I
10.1080/03610918.2012.698776
中图分类号
O21 [概率论与数理统计]; C8 [统计学];
学科分类号
020208 ; 070103 ; 0714 ;
摘要
In this article, we are interested in simultaneous comparison of the location and scale estimators of a two-parameter exponential distribution based on simple random sample (SRS) and ranked set sample (RSS) by using generalized variance (GV). We suggest various RSS strategies to estimate the scale parameter. Their performances in terms of GV are compared with SRS strategy. Finally, we illustrate the minimum values of set size, n, based on RSS, which would result in smaller GV than that based on SRS.
引用
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页码:132 / 141
页数:10
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