Chain regression-type estimator using multiple auxiliary information in successive sampling

被引：0
|
作者：
Singh, Housila P. [1 ]
Srivastava, Manoj Kumar [2 ]
Srivastava, Namita [3 ]
Tarray, Tanveer A. [1 ]
Singh, Virendra [2 ]
Dixit, Shivam [1 ,2 ]
机构：
[1] Vikram Univ, Sch Studies Stat, Ujjain 456010, Madhya Pradesh, India
[2] Dr BRA Univ, Inst Social Sci, Agra 282002, Uttar Pradesh, India
[3] St Johns Coll, Dept Stat, Agra, Uttar Pradesh, India
来源：
HACETTEPE JOURNAL OF MATHEMATICS AND STATISTICS | 2015年 / 44卷 / 05期
关键词：
Successive sampling; Chain type ratio estimator; Optimal replacement policy; Rotation pattern; Auxiliary information; Double sampling; REPEATED OCCASIONS; VARIABLES;
D O I：
暂无
中图分类号：
O1 [数学];
学科分类号：
0701 ; 070101 ;
摘要：
In successive sampling, the use of auxiliary information for estimation of population mean on current occasion is a well explored area. In the present work, the information on an auxiliary variable, which is available on both the occasions, is used along with the information on the study variable from the previous occasion and the current occasion. Consequently, chain regression-type estimator for estimating the population mean are proposed in two occasions successive sampling. The optimal replacement policy is also discussed. We have also given an empirical study along with pictorial representation to examine the merit of the proposed estimator.
引用
收藏
页码：1247 / 1256
页数：10
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