New ranked set sampling for one-parameter family of distributions

被引:2
作者
Bhoj, DS [1 ]
机构
[1] Rutgers State Univ, Dept Math Sci, Camden, NJ 08102 USA
关键词
best linear unbiased estimator; exponential distribution; least squares estimator; logistic distribution; modified ranked set sampling; Rayleigh distribution; relative precision;
D O I
10.1002/1521-4036(200009)42:5<647::AID-BIMJ647>3.0.CO;2-B
中图分类号
Q [生物科学];
学科分类号
07 ; 0710 ; 09 ;
摘要
BHOJ (1997c) proposed a new ranked set sampling (NRSS) procedure for a specific two-parameter family of distributions when the sample size is even. This NR;SS procedure can be applied to one-parameter family of distributions when the sample size is even. However, this procedure cannot be used if the sample size is odd. Therefore, in this paper, we propose a modified version of the NRSS procedure which can be used for one-parameter distributions when the sample size is odd. Simple estimator for the parameter based on proposed NRSS is derived. The relative precisions of this estimator are higher than those of other estimators which are based on other ranked set sampling procedures and the best linear unbiased estimator using all order statistics.
引用
收藏
页码:647 / 658
页数:12
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