Improved Ratio and Product Exponential Type Estimators

被引:31
|
作者
Upadhyaya, Lakshmi N. [1 ]
Singh, Housila P. [2 ]
Chatterjee, S. [1 ]
Yadav, Rohini [1 ]
机构
[1] Indian Sch Mines, Dept Appl Math, Dhanbad 826004, Bihar, India
[2] Vikram Univ, Sch Studies Stat, Ujjain 456010, Madhya Pradesh, India
关键词
Study variable; Auxiliary variable; Bias; Mean squared error;
D O I
10.1080/15598608.2011.10412029
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 paper addresses the problem of estimating the population mean using auxiliary information. Improved versions of Bahl and Tuteja (1991) ratio and product exponential type estimators have been proposed and their properties studied under large sample approximation. It has been shown that the proposed ratio and product exponential type estimators are more efficient than those considered by Bahl and Tuteja (1991) estimators, conventional ratio and product estimators and the usual unbiased estimator under some realistic conditions. An empirical study has been carried out to judge the merits of the suggested estimators over others. Theoretical and empirical results are sound and quite illuminating compared to other estimators.
引用
收藏
页码:285 / 302
页数:18
相关论文
共 50 条