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Logistic Randomized Response Model

  • Conference paper
Fuzzy Information and Engineering

Part of the book series: Advances in Soft Computing ((AINSC,volume 54))

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Abstract

Sensitive topics or highly personal questions are often faced in medical psychological and socio-economic survey. Warner’s pioneering randomized response (RR) device, as a method for reducing evasive answer bias while estimating the proportion of people in a community bearing a sensitive attribute, has been studied extensively over the last four decades. This paper proposes a new model (named the logistic model) for survey sampling with sensitive characteristics, and provides the suitable estimators for estimating an unknown proportion of people bearing a sensitive characteristic in a given community. That is a development for some existing research results concerning the randomized response theory. A numerical study comparing the performance of the proposed procedure and Warner’s (1965)[10]procedure is reported.

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Author information

Authors and Affiliations

  1. Science College of Inner Mongolia university of technology, Hohhot, Inner Mongolia, 010051, P.R. China

    Zai-zai Yan & Peng-hao Ji

  2. Management College of Inner Mongolia university of technology, Hohhot, Inner Mongolia, 010051, P.R. China

    Zai-zai Yan

Authors
  1. Zai-zai Yan
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  2. Peng-hao Ji
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Editor information

Editors and Affiliations

  1. Guangzhou Higher Education Mega Center, Guangzhou University, 230Wai Huan Xi Road, 510006, China

    Bing-yuan Cao

  2. Department of Mathematics, Hainan Normal University, Haikou, 571158, Hainan, P.R. China

    Cheng-yi Zhang

  3. Department of Electronic Information Engineering, Chongqing University of Science & Technology, 401331, Chongqing

    Tai-fu Li

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© 2009 Springer-Verlag Berlin Heidelberg

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Yan, Zz., Ji, Ph. (2009). Logistic Randomized Response Model. In: Cao, By., Zhang, Cy., Li, Tf. (eds) Fuzzy Information and Engineering. Advances in Soft Computing, vol 54. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-88914-4_38

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  • DOI: https://doi.org/10.1007/978-3-540-88914-4_38

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-88913-7

  • Online ISBN: 978-3-540-88914-4

  • eBook Packages: EngineeringEngineering (R0)

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