On Estimation of Finite Population Variance in Two-Occasion Successive Sampling

被引：0

作者：

Singh, G. N. ^{[1
]}

Singh, A. K. ^{[1
]}

机构：

[1] Indian Sch Mines, Dept Appl Math, Dhanbad 826004, Bihar, India

来源：

INTERNATIONAL JOURNAL OF APPLIED MATHEMATICS & STATISTICS | 2016年 / 55卷 / 03期

关键词：

Successive sampling; variance estimation; auxiliary information; bias; mean square error; optimum replacement strategy;

D O I：

暂无

中图分类号：

O29 [应用数学];

学科分类号：

070104 ;

摘要：

The objective of this paper is to estimate the finite population variance in two-occasion successive sampling. Chain type exponential ratio and regression estimators have been proposed. Properties of the proposed estimators and their respective optimum replacement strategies have been discussed. The proposed estimators are compared with the natural sample variance estimator when there is no matching from the previous occasion. Theoretical results are supported with empirical studies. Results have been interpreted and suitable recommendations are made.

引用

页码：28 / 40

页数：13

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