Ratio cum product-type exponential estimator in double sampling for stratification of finite population mean

被引：0

作者：

Housila P. Singh

Pragati Nigam

机构：

[1] Vikram University,School of Studies in Statistics

[2] Mandsaur University,Faculty of Agriculture Sciences

来源：

Afrika Matematika | 2022年 / 33卷

关键词：

Auxiliary variable; Bias; Mean squared error; Double sampling for stratification; 62D05;

D O I：

暂无

中图分类号：

学科分类号：

摘要：

In this paper we have suggested an exponential estimator of ratio cum product-type for finite population mean in double sampling for stratification. The proposed estimator's bias and mean squared error were obtained up to the first order of approximation. Comparisons have been made theoretically and numerically both with unbiased estimator, ratio and product-type estimator, ratio and product-type exponential estimators. In support of the work, an empirical study is also performed.

引用

共 15 条

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[2]

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[3]

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[4]

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[5]

Verma MR(2007)Modified exponential ratio and product estimators of finite population mean in double sampling Austrian J. Stat. 36 217-225

[6]

Shabbir J(2014)Ratio-cum-product estimator of finite population mean in double sampling for stratification J. Reliab. Stat. Stud. 7 93-101

[7]

Singh HP(2014)Ratio and product type exponential estimators of population mean in double sampling for stratification Commun. Stat. Appl. Methods 21 1-9

[8]

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