Estimation of population variance in successive sampling

被引:23
|
作者
Singh, Housila P. [2 ]
Tailor, Ritesh [2 ]
Singh, Sarjinder [3 ]
Kim, Jong-Min [1 ]
机构
[1] Univ Minnesota, Div Sci & Math, Morris, MN 56267 USA
[2] Vikram Univ, Sch Studies Stat, Ujjain 456010, Madhya Pradesh, India
[3] Texas A&M Univ, Dept Math, Kingsville, TX 78363 USA
关键词
Successive sampling; Class of estimators; Bias and Mean Square Error; OCCASIONS;
D O I
10.1007/s11135-009-9309-9
中图分类号
C [社会科学总论];
学科分类号
03 ; 0303 ;
摘要
This paper proposes a class of estimators of finite population variance in successive sampling on two occasions and analyzes its properties. Isaki (J Am Stat Assoc 78:117-123, 1983) motivated to consider the problem of estimation of finite population variance in survey sampling, and its extension to the case of successive sampling is much interesting, and the theory developed here will be helpful to those involved in such analysis in future. To our knowledge this is the first attempt made by the authors in this direction. An empirical study based on real populations and moderate sample sizes demonstrates the usefulness of the proposed methodology. In addition, this paper also presents a through review on successive sampling.
引用
收藏
页码:477 / 494
页数:18
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