Improved ratio-type estimators of finite population variance using quartiles

被引：0

作者：

Solanki, Ramkrishna S. ^{[1
]}

Singh, Housila P. ^{[2
]}

Pal, Surya K. ^{[2
]}

机构：

[1] JNKVV, Coll Agr, Dept Math & Stat, Jabalpur, MP, India

[2] Vikram Univ, SS Stat, Ujjain, Madhya Pradesh, India

来源：

HACETTEPE JOURNAL OF MATHEMATICS AND STATISTICS | 2015年 / 44卷 / 03期

关键词：

Study variable; Auxiliary variable; Bias; Mean squared error; Quartiles; Simple random sampling;

D O I：

暂无

中图分类号：

O1 [数学];

学科分类号：

0701 ; 070101 ;

摘要：

In this paper we have proposed some ratio-type estimators of finite population variance using known values of parameters related to an auxiliary variable such as quartiles with their properties in simple random sampling. The suggested estimators have been compared with the usual unbiased and ratio estimators and the estimators due to [2], [12, 13, 14] and [3]. An empirical study is also carried out to judge the merits of the proposed estimator over other existing estimators of population variance using natural data set.

引用

页码：747 / 754

页数：8

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