ON SOME EFFICIENT CLASSES OF ESTIMATORS UNDER DOUBLE SAMPLING

被引：0

作者：

Bhushan, Shashi ^{[1
]}

Kumar, Anoop ^{[1
]}

Kumar, Sumit ^{[2
]}

Singh, Saurabh ^{[1
]}

机构：

[1] Dr Shakuntala Misra Natl Rehabil Univ, Dept Maths & Stat, Lucknow 226017, Uttar Pradesh, India

[2] KK Univ, Sch Appl Sci, Biharsharif 803115, Bihar, India

来源：

INTERNATIONAL JOURNAL OF AGRICULTURAL AND STATISTICAL SCIENCES | 2021年 / 17卷 / 02期

关键词：

Bias; Double sampling; Efficiency; Mean square error; RATIO; INFORMATION;

D O I：

暂无

中图分类号：

S [农业科学];

学科分类号：

09 ;

摘要：

In this article, we envisage some efficient classes of estimators in double sampling for estimating the population mean utilizing information on supplementary variable along with their properties. The effective execution of the envisaged estimators are examined in comparison to the usual mean estimator, double sampling classical ratio and difference estimators, Srivastava (1967) estimator, Walsh (1970) estimator, Singh and Vishwakarma (2007) estimator, Singh (2011) estimator and Bhushan and Gupta (2019) estimators. In addition, an empirical study is accomplished to enhance the merits of the proposed estimators.

引用

页码：519 / 524

页数：6

共 26 条

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