Chain Ratio-Type and Exponential Chain Ratio-Ratio-Type Estimators in Double Sampling for Stratification

被引:0
|
作者
Singh, Housila P. [1 ]
Nigam, Pragati [1 ]
机构
[1] Vikram Univ, Sch Studies Stat, Ujjain, MP, India
来源
STATISTICS AND APPLICATIONS | 2022年 / 20卷 / 01期
关键词
Auxiliary variable; Bias; Mean squared error;
D O I
暂无
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
In this paper, we have suggested chain ratio-type estimator, exponential chain ratio-ratio-type estimator, improved estimator and a general class of estimators in Double sampling for stratification for finite population mean. Different conditions were obtained under which the proposed estimators perform better than unbiased estimator, ratio-type and product-type estimators and ratio and product-type exponential estimators. An empirical study is carried out to demonstrate the performance of the proposed estimators over existing estimators.
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页码:193 / 211
页数:19
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