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  • Statistics In Transition

 

Research Article | 01-June-2020

How privacy may be protected in optional randomized response surveys

There are materials in literature about how privacy on stigmatizing features like alcoholism, history of tax-evasion, or testing positive in AIDS-related testing may be partially protected by a proper application of randomized response techniques (RRT). The paper demonstrates what amendments are necessary for this approach while applying optional RRTs covering qualitative characteristics, permitting a sampled respondent either to directly reveal sensitive data or choose a randomized response

Sanghamitra Pal, Arijit Chaudhuri, Dipika Patra

Statistics in Transition New Series, Volume 21 , ISSUE 2, 61–87

Article | 20-December-2020

Unbiased estimator modeling in unrelated dichotomous randomized response

The unrelated design has been shown to improve the efficiency of a randomized response method and reduces respondents’ suspicion. In the light of this, the paper proposes a new Unrelated Randomized Response Model constructed by incorporating an unrelated question into the alternative unbiased estimator in the dichotomous randomized response model proposed by Ewemooje in 2019. An unbiased estimate and variance of the model are thus obtained. The variance of the proposed model decreases as

Adetola Adedamola Adediran, Femi Barnabas Adebola, Olusegun Sunday Ewemooje

Statistics in Transition New Series, Volume 21 , ISSUE 5, 119–132

Research Article | 22-January-2018

A GENERALIZED RANDOMIZED RESPONSE MODEL

In this paper we have suggested a generalized version of the Gjestvang and Singh (2006) model and have studied its properties. We have shown that the randomized response models due to Warner (1965), Mangat and Singh (1990), Mangat (1994) and Gjestvang and Singh (2006) are members of the proposed RR model. The conditions are obtained in which the suggested RR model is more efficient than the Warner (1965) model, Mangat and Singh (1990) model and Mangat (1994) model and Gjestvang and Singh (2006

Housila P. Singh, Swarangi M. Gorey

Statistics in Transition New Series, Volume 18 , ISSUE 4, 669–686

Article | 27-May-2019

NONRANDOMIZED RESPONSE MODEL  FOR COMPLEX SURVEY DESIGNS

Warner’s randomized response (RR) model is used to collect sensitive information for a broad range of surveys, but it possesses several limitations such as lack of reproducibility, higher costs and it is not feasible for mail questionnaires. To overcome such difficulties, nonrandomized response (NRR) surveys have been proposed. The proposed NRR surveys are limited to simple random sampling with replacement (SRSWR) design. In this paper, NRR procedures are extended to complex survey

Raghunath Arnab, Dahud Kehinde Shangodoyin, Antonio Arcos

Statistics in Transition New Series, Volume 20 , ISSUE 1, 67–86

Article | 24-August-2017

ESTIMATING SENSITIVE POPULATION PROPORTION USING A COMBINATION OF BINOMIAL AND HYPERGEOMETRIC RANDOMIZED RESPONSES BY DIRECT AND INVERSE MECHANISM

For various reasons individuals in a sample survey may prefer not to confide to the interviewer the correct answers to certain potentially sensitive questions such as the illegal use of drugs, illegal earning, or incidence of acts of domestic violence, etc. In such cases the individuals may elect not to reply at all or to reply with incorrect answers. The resulting evasive answer bias is ordinarily difficult to assess. The use of a randomized response method for estimating the proportion of

Kajal Dihidar, Manjima Bhattacharya

Statistics in Transition New Series, Volume 18 , ISSUE 2, 193–210

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