Searching for just a few words should be enough to get started. If you need to make more complex queries, use the tips below to guide you.
Issue title: Warner's Randomized Response Model
Guest editors: Arijit Chaudhuri
Article type: Research Article
Authors: Abdelfatah, Sally* | Mazloum, Reda
Affiliations: Department of Statistics, Faculty of Economics and Political Science, Cairo University, Giza, Egypt
Correspondence: [*] Corresponding author: Sally Farid Abdelghafar Abdelfatah, Department of Statistics, Faculty of Economics and Political Science, Cairo University, Giza, Egypt. Tel.: +2 01223647461; E-mail:sally_abdelfatah@feps.edu.eg
Abstract: Randomized response technique is an effective research method that is used to estimate the proportion of a population that possesses a sensitive characteristic, such as tax evasion, abortion, or drug abuse. In this paper, two recently developed randomized response models using two decks of cards are extended to the case of stratified random sampling. Under proportional allocation or optimal allocation for fixed sample sizes, it is shown that the proposed stratified estimators are always more efficient than their counterparts in simple random sampling. Comparing the two proposed models, it is found that one of the models can be adjusted to be more efficient than the other, and that this model can increase the respondents' cooperation. Hence this model is referred to as the improved model. For unknown strata sizes, the double sampling method for stratification is applied.
Keywords: Sensitive characteristic, estimation of proportion, relative efficiency, optimal allocation, double sampling
DOI: 10.3233/MAS-150335
Journal: Model Assisted Statistics and Applications, vol. 10, no. 4, pp. 309-320, 2015
IOS Press, Inc.
6751 Tepper Drive
Clifton, VA 20124
USA
Tel: +1 703 830 6300
Fax: +1 703 830 2300
sales@iospress.com
For editorial issues, like the status of your submitted paper or proposals, write to editorial@iospress.nl
IOS Press
Nieuwe Hemweg 6B
1013 BG Amsterdam
The Netherlands
Tel: +31 20 688 3355
Fax: +31 20 687 0091
info@iospress.nl
For editorial issues, permissions, book requests, submissions and proceedings, contact the Amsterdam office info@iospress.nl
Inspirees International (China Office)
Ciyunsi Beili 207(CapitaLand), Bld 1, 7-901
100025, Beijing
China
Free service line: 400 661 8717
Fax: +86 10 8446 7947
china@iospress.cn
For editorial issues, like the status of your submitted paper or proposals, write to editorial@iospress.nl
如果您在出版方面需要帮助或有任何建, 件至: editorial@iospress.nl