An Improved Two-stage Stratified Randomized Response Model for Estimating Sensitive Proportion

被引:1
|
作者
Hussain, Zawar [1 ]
Cheema, Salman Arif [2 ]
Hussain, Ishtiaq [3 ]
机构
[1] Cholistan Univ Vet & Anim Sci, Dept Social & Allied Sci, Bahawalpur 63100, Pakistan
[2] Univ New Castle, Dept Math & Phys Sci, Callaghan, NSW, Australia
[3] Quaid I Azam Univ, Dept Stat, Islamabad, Pakistan
关键词
randomized response technique; estimation of proportion; stratified random sampling; sensitive attribute; bias; mean squared error; PREVALENCE;
D O I
10.1177/0049124119875963
中图分类号
O1 [数学]; C [社会科学总论];
学科分类号
03 ; 0303 ; 0701 ; 070101 ;
摘要
This article is about making correction in Tarray, Singh, and Zaizai model and further improving it when stratified random sampling is necessary. This is done by using optional randomized response technique in stratified sampling using a combination of Mangat and Singh, Mangat, and Greenberg et al. models. The suggested model has been studied assuming proportional and Neyman allocation schemes. Numerical results show larger gains in efficiency. Through a detailed numerical study, it is established that the suggested model is relatively more efficient than the Kim and Warde model and the models mentioned above.
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页码:1413 / 1441
页数:29
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