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A new randomized response device for sensitive characteristics: an application of the negative hypergeometic distribution

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  • Sarjinder Singh
  • Stephen Sedory

Abstract

In this paper, a new randomized response device is proposed based on the use of negative hypergeometric distribution while estimating the proportion of persons possessing a sensitive characteristic in a population. Situations where the proposed randomization device can perform better than the Warner (J Am Stat Assoc 60, 63–69, 1965 ), the Kuk (Biomerika 77(2), 436–438, 1990 ) and the Mangat (J R Statist Soc B 56, 93–95, 1994 ) estimators are simulated and discussed. Copyright Sapienza Università di Roma 2013

Suggested Citation

  • Sarjinder Singh & Stephen Sedory, 2013. "A new randomized response device for sensitive characteristics: an application of the negative hypergeometic distribution," METRON, Springer;Sapienza Università di Roma, vol. 71(1), pages 3-8, June.
    • Handle: RePEc:spr:metron:v:71:y:2013:i:1:p:3-8
    DOI: 10.1007/s40300-013-0002-3
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    References listed on IDEAS

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    1. Sarjinder Singh & Stephen A. Sedory, 2012. "A true simulation study of three estimators at equal protection of respondents in randomized response sampling," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 66(4), pages 442-451, November.
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    Cited by:

    1. Kajal Dihidar & Manjima Bhattacharya, 2017. "Estimating Sensitive Population Proportion Using A Combination Of Binomial And Hypergeometric Randomized Responses By Direct And Inverse Mechanism," Statistics in Transition New Series, Polish Statistical Association, vol. 18(2), pages 193-210, June.
    2. Dihidar Kajal & Bhattacharya Manjima, 2017. "Estimating Sensitive Population Proportion Using a Combination of Binomial and Hypergeometric Randomized Responses by Direct and Inverse Mechanism," Statistics in Transition New Series, Statistics Poland, vol. 18(2), pages 193-210, June.

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