Some Improved Classes of Estimators in Stratified Sampling Using Bivariate Auxiliary Information

被引：1

作者：

Bhushan, Shashi ^{[1
]}

Kumar, Anoop ^{[2
]}

Onyango, Ronald ^{[3
]}

Singh, Saurabh ^{[4
]}

机构：

[1] Univ Lucknow, Dept Stat, Lucknow, Uttar Pradesh, India

[2] Amity Univ, Dept Stat, Lucknow, UP, India

[3] Jaram Oginga Odinga Univ Sci & Technol, Dept Appl Stat Financial Math & Acturial Sci, Bondo, Kenya

[4] Dr Shakuntala Misra Natl Rehabil Univ, Dept Math & Stat, Lucknow, Uttar Pradesh, India

来源：

JOURNAL OF PROBABILITY AND STATISTICS | 2022年 / 2022卷

关键词：

EXPONENTIAL ESTIMATOR;

D O I：

10.1155/2022/2660114

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 manuscript considers some improved combined and separate classes of estimators of population mean using bivariate auxiliary information under strati'ed simple random sampling. The expressions of bias and mean square error of the proposed classes of estimators are determined to the first order of approximation. It is exhibited that under some particular conditions, the proposed classes of estimators dominate the existing prominent estimators. The theoretical 'ndings are supported by a simulation study performed over a hypothetically generated population.

引用

页数：23

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