Poisson–Poisson item count techniques for surveys with sensitive discrete quantitative data-Reference-Cited by-同舟云学术

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Poisson–Poisson item count techniques for surveys with sensitive discrete quantitative data

Published:2017-03-27 Issue:5 Volume:60 Page:1763-1791
ISSN:0932-5026
Container-title:Statistical Papers
language:en
Short-container-title:Stat Papers

Author:

Liu Yin,Tian Guo-Liang,Wu Qin,Tang Man-Lai

Funder

Research Grant Council of the Hong Kong Special Administrative Region

National Natural Science Foundation of China

Young Teachers Innovation Project of Zhongnan University of Economics and Law

Publisher

Springer Science and Business Media LLC

Subject

Statistics, Probability and Uncertainty,Statistics and Probability

Link

http://link.springer.com/content/pdf/10.1007/s00362-017-0895-7.pdf

Reference33 articles.

1. Agresti A, Coull BA (1998) Approximate is better than “exact” for interval estimation of binomial proportions. Am Stat 52(2):119–126

2. Blair G, Imai K (2012) Statistical analysis of list experiments. Polit Anal 20:47–77

3. Chaudhuri A, Christofides TC (2007) Item count technique in estimating the proportion of people with a sensitive feature. J Stat Plan Inference 137:589–593

4. Chaudhuri A, Christofides TC (2013) Indirect questioning in sample surveys. Springer, New York

5. Cruyff MJLF, van den Hout A, van den Heijden PGM, Böckenholt U (2007) Log-linear randomized-response models taking self-protective response behavior into account. Sociol Methods Res 36:266–282

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