Estimation of Population Variance Under an Imputation Method in Two-Phase Sampling

被引：5
|
作者：
Sharma, A. K. [1 ]
Singh, A. K. [2 ]
机构：
[1] NIT Raipur, Dept Math, Raipur, Chhatissgarh, India
[2] Univ Delhi, Sri Venkateswara Coll, Dept Stat, New Delhi, India
来源：
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES INDIA SECTION A-PHYSICAL SCIENCES | 2020年 / 90卷 / 01期
关键词：
Two-phase; Imputation; Random non-response; Variance estimation; Auxiliary variable; Bias; Mean square error; RANDOM NONRESPONSE;
D O I：
10.1007/s40010-018-0572-9
中图分类号：
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号：
07 ; 0710 ; 09 ;
摘要：
In this paper, an attempt has been made to reduce the negative effect of random non-response in the estimation procedure of population variance in two-phase sampling. A difference-type imputation method has been considered to reduce the wrong impact of random non-response in the two-phase sampling. To build efficient estimation strategies, information on two auxiliary characters has been used in the estimation of population variance and describes the effectiveness of the proposed estimators; dominant performances of the suggested estimators are compared with the well-known estimators of the population variance under the complete response. Results are explained through empirical studies which are followed by suitable recommendations.
引用
收藏
页码：185 / 191
页数：7
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