Randomized response group testing model

被引:2
作者
Kim J.-M. [1 ]
Heo T.-Y. [2 ]
机构
[1] Division of Science and Mathematics, University of Minnesota-Morris, Morris
[2] Department of Information Statistics, Chungbuk National University, Cheongju, Chungbuk
关键词
confidentiality; group testing; maximum likelihood; Randomized response; sensitive questions;
D O I
10.1080/15598608.2013.756324
中图分类号
学科分类号
摘要
In this article, we propose randomized response-group testing (RR-GT) models. Randomized response technique and the group testing method have long been recognized as sampling schemes that can provide substantial benefits. In order to obtain both confidentiality and economic benefits from a sensitive issue survey sampling, we incorporate the group testing method into the most popular two randomized response models, which are Warner's RR model and unrelated question RR model. Empirical comparisons are provided and discussed. © 2013 Copyright Grace Scientific Publishing, LLC.
引用
收藏
页码:33 / 48
页数:15
相关论文
共 21 条
[1]  
Bockenholt U., Van Der Heijden P.G.M., Item randomized-response models for measuring noncompliance: Risk-return perceptions, social influences, and self-protective responses, Psychometrika, 72, 2, pp. 245-262, (2007)
[2]  
Chaudhuri A., Randomized response and indirect questioning techniques in surveys, Statistics: Textbooks and Monographs, (2011)
[3]  
Clark S.J., Desharnais R.A., Honest answers to embarrassing questions: Detecting cheating in the randomized response model, Psychological Methods, 3, pp. 160-168, (1998)
[4]  
Chaudhuri A., Pal S., Estimating proportions from unequal probability samples using randomized responses byWarner's and other devices, J. Indian Soc. Agric. Stat., 55, 2, pp. 174-183, (2002)
[5]  
Chen C.L., Swallow W.H., Using group testing to estimate a proportion, and to test the binomial model, Biometrics, 46, pp. 1035-1046, (1990)
[6]  
Christofides T.C., A generalized randomized response technique, Metrika, 57, 2, pp. 195-200, (2003)
[7]  
Cochran W.G., Sampling Techniques, (1963)
[8]  
Diana G., Perri P.F., Selected scrambled response nodels, 45th Scientific Meeting of the Italian Statistical Society, (2010)
[9]  
Dorfman R., The detection of defective members of large populations, Ann. Math. Stat., 14, pp. 436-440, (1943)
[10]  
Greenberg B., Abul-Ela A., Simmons W., Horvitz D., The unrelated question randomized response: Theoretical framework, J. Am. Stat. Assoc., 64, pp. 529-539, (1969)