On optimality of imputation methods for estimation of population mean using higher order moment of an auxiliary variable

被引:14
作者
Bhushan, Shashi [1 ]
Pratap Pandey, Abhay [2 ,4 ]
Pandey, Arvind [3 ]
机构
[1] Dr Shakuntala Misra Natl Rehabil Univ, Dept Math & Stat, Lucknow, Uttar Pradesh, India
[2] Babasaheb Bhimrao Ambedkar Univ, Dept Appl Stat, Lucknow, Uttar Pradesh, India
[3] Cent Univ Rajasthan, Dept Stat, Ajmer, India
[4] Univ Delhi, Dept Stat, Ramanujan Coll, New Delhi, India
关键词
Missing data; Imputation; Higher order moment; MISSING DATA; RATIO;
D O I
10.1080/03610918.2018.1500595
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 introduces some improved methods of imputation using higher order moment of an auxiliary variable while imputing missing values. The performance of the proposed imputation methods are investigated relative to the methods proposed by Mohamed, Sedory, and Singh (2016) and Bhushan and Pandey (2016,2018). A comparative study has been carried out and it has been shown that the proposed methods perform better in comparision to methods proposed by Mohamed, Sedory, and Singh (2016) and Bhushan and Pandey (2016,2018). The theoretical findings are supported by numerical study on two real populations and a simulation study using hypothetical population.
引用
收藏
页码:1560 / 1574
页数:15
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