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.
机构:
Woosuk Univ, Dept Children Welf, Wanjugun 565701, Jeonbuk, South KoreaWoosuk Univ, Dept Children Welf, Wanjugun 565701, Jeonbuk, South Korea
Lee, Gi-Sung
Hong, Ki-Hak
论文数: 0引用数: 0
h-index: 0
机构:
Dongshin Univ, Dept Comp Sci, Naju 520714, Chonnam, South KoreaWoosuk Univ, Dept Children Welf, Wanjugun 565701, Jeonbuk, South Korea
Hong, Ki-Hak
论文数: 引用数:
h-index:
机构:
Kim, Jong-Min
Son, Chang-Kyoon
论文数: 0引用数: 0
h-index: 0
机构:
Dongguk Univ, Dept Stat & Informat Sci, Gyeongju 780714, Gyeongbuk, South KoreaWoosuk Univ, Dept Children Welf, Wanjugun 565701, Jeonbuk, South Korea