An Alternative Ratio-Cum-Product Estimator of Finite Population Mean Using Coefficient of Kurtosis of Two Auxiliary Variates in Two-Phase Sampling

被引：2

作者：

Sharma, Balkishan ^{[1
]}

Tailor, Rajesh ^{[2
]}

机构：

[1] Sri Aurobindo Med Coll & PG Inst, Dept Community Med, Indore 453111, Madhya Pradesh, India

[2] Vikram Univ, Ujjain 456010, Madhya Pradesh, India

来源：

PAKISTAN JOURNAL OF STATISTICS AND OPERATION RESEARCH | 2014年 / 10卷 / 03期

关键词：

Population mean; Coefficient of kurtosis; Two-phase sampling; Bias and Mean squared error;

D O I：

10.18187/pjsor.v10i3.639

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：

This paper deals with the problem of estimation of population mean in two-phase sampling. A ratio-product estimator of population mean using known coefficient of kurtosis of two auxiliary variates has been proposed. In fact, it is a two-phase sampling version of Tailor et al. (2010) estimator and its properties are studied. Proposed estimator has been compared with usual unbiased estimator, classical ratio and product estimator in two-phase sampling, and two-phase sampling versions of Singh (1967) and Singh et al. (2004) estimators respectively. To judge the merits of the proposed estimator over other estimators an empirical study is also carried out.

引用

页码：257 / 266

页数：10

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