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Estimation of sensitive data from a dichotomous population

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Abstract

This paper considers the problem of estimating the population proportion when the study variable is sensitive in nature. Two implicit unrelated question procedures are proposed, in which the unrelated character used can be chosen arbitrarily. In addition to unbiasedly estimating population proportion and variance, an empirical study is also carried out to examine the relative efficiency aspect of the proposed procedures. The new procedures are shown to be more efficient than the usual randomized response procedures.

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References

  • Bhargava M, Singh R (2000) A modified randomization device for Warner's model. Statistica 60, 315–321

    MATH  MathSciNet  Google Scholar 

  • Chang HJ, Huang KC (2001) Estimation of proportion and sensitivity of a qualitative character. Metrika 53, 269–280.

    Article  MATH  MathSciNet  Google Scholar 

  • Chaudhuri A, Mukerjee R (1988) Randomized Response: Theory and Techniques. Marcel Dekker, New York

    MATH  Google Scholar 

  • Edgell S, Himmelfarb S, Duchan K (1982) Validity of forced response in a randomized response model. Sociol. Meth. 11, 89–110

    Google Scholar 

  • Greenberg BG, Abul-Ela Abdel-Latif A, Simmons WR, Horvitz DG (1969) The unrelated question RR model: theoretical framework. J. Am. Stat. A. 64, 520–539

    Article  Google Scholar 

  • Gupta S, Gupta B, Singh S (2002) Estimation of sensitivity level of personal interview survey questions. J. Stat. Plan. 100, 239–247

    Article  MATH  MathSciNet  Google Scholar 

  • Kerkvliet J (1994) Estimating a logit model with randomized data: the case of cocaine use. Aust. J. Stat. 36, 9–20

    Google Scholar 

  • Kuk AYC (1990) Asking sensitive questions indirectly. Biometrika 77, 436–438

    Article  MATH  MathSciNet  Google Scholar 

  • Mahmood M, Singh S, Horn S (1998) On the confidentiality guaranteed under randomized response sampling: a comparison with several new techniques. Biom. J. 40, 237–242

    Article  MATH  MathSciNet  Google Scholar 

  • Mangat NS (1994) An improved randomized response strategy. J. Roy. Sta. B 56, 93–95

    MATH  MathSciNet  Google Scholar 

  • Mangat NS, Singh R (1990) An alternative randomized response procedure. Biometrika 77, 439–442

    Article  MATH  MathSciNet  Google Scholar 

  • Mangat NS, Singh R, Singh S (1997) Violation of respondent's privacy in Moor's model—its rectification through a random group strategy. Comm. St.—The. 26, 743–754

    Article  MATH  MathSciNet  Google Scholar 

  • Mangat NS, Singh S, Singh R (1995) On the use of a modified randomization device in Warner's model. J. Ind. Soc. Stat. Oper. Res. 16, 65–69

    MathSciNet  Google Scholar 

  • Singh S, Singh R, Mangat NS (2000) Some alternative strategies to Moor's model in randomized response sampling. J. Stat. Plan. 83, 243–255

    Article  MATH  MathSciNet  Google Scholar 

  • Singh S, Mahmood M, Tracy DC (2001) Estimation of mean and variance of stigmatized quantitative variable using distinct units in randomized response sampling. Stat. Pap. 42, 403–411

    Article  MATH  MathSciNet  Google Scholar 

  • Fox J, Tracy P (1986) Randomized Response: A Method for Sensitive Surveys. Sage, CA

    Google Scholar 

  • Warner SL (1965) Randomized response: a survey technique for eliminating evasive answer bias. J. Am. Stat. A. 60, 63–69

    Article  Google Scholar 

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Authors and Affiliations

  1. Department of Business Administration, Chungyu Institute of Technology, 40 Yi-Seventh Road, Keelung, Taiwan 201, R.O.C.

    Kuo-Chung Huang

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  1. Kuo-Chung Huang
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Huang, KC. Estimation of sensitive data from a dichotomous population. Statistical Papers 47, 149–156 (2006). https://doi.org/10.1007/s00362-005-0278-3

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  • DOI: https://doi.org/10.1007/s00362-005-0278-3

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