EFFICIENT ESTIMATION OF POPULATION VARIANCE USING ROBUST MEASURES

被引：0

作者：

Yadav, S. K. ^{[1
]}

Kumar, Surendra ^{[2
]}

Singh, Lakhan ^{[3
]}

Thanvi, Jyoti ^{[4
]}

机构：

[1] Babasaheb Bhimrao Ambedkar Univ, Dept Stat, Lucknow 226025, Uttar Pradesh, India

[2] Govt Degree Coll, Dept Math, Pihani 241406, Hardoi, India

[3] Hemwati Nandan Bahuguna Garhwal Univ, Dept Stat, Srinagar 246174, India

[4] Indira Gandhi Natl Tribal Univ, Dept Stat, Amarkantak 484887, India

来源：

INTERNATIONAL JOURNAL OF AGRICULTURAL AND STATISTICAL SCIENCES | 2020年 / 16卷 / 01期

关键词：

Study variable; Robust measure; Bias; Mean squared error; MODIFIED RATIO ESTIMATOR; AUXILIARY;

D O I：

暂无

中图分类号：

S [农业科学];

学科分类号：

09 ;

摘要：

In the present paper, we suggest a general family of estimators of population variance using auxiliary information. We utilize the auxiliary information in the form of the robust measures of auxiliary variable. We study the bias and the Mean Squared error (MSE) of the suggested estimator up to the approximation of order one. We find the optimum value of the characterizing constant for this value, we find the minimum value of MSE of the suggested estimator. The proposed estimator is compared with the competing estimators and efficiency conditions of suggested estimator are obtained. The efficiency conditions are verified through some natural populations.

引用

页码：299 / 306

页数：8

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