Unbiased estimators of mean, variance and sensitivity level for quantitative characteristics in finite population sampling

被引：24
|
作者：
Huang, Kuo-Chung [1 ]
机构：
[1] Nanhua Univ, Dept Business Adm, Chiayi, Taiwan
来源：
METRIKA | 2010年 / 71卷 / 03期
关键词：
Percent relative efficiency; Randomized response; Sample size allocation; Simple random sampling with replacement; RANDOMIZED-RESPONSE TECHNIQUE; PROPORTION; INTERVIEW;
D O I：
10.1007/s00184-009-0234-7
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 considers the problem of procuring reliable information on sensitive quantitative characteristics without exposing respondents' identities. A generalized optional randomized response procedure is proposed, which enables us to estimate some unknown population parameters unbiasedly. In particular, conditions for the assurance of unbiased estimations of mean, variance and sensitivity level are studied. Efficiency comparisons are also carried out to study the performance of the proposed procedure.
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页码：341 / 352
页数：12
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