A Modifed Forced Randomized Response Model

Authors

  • Adefemi Adeniran
    Augustine University Ilara-Epe
  • A. A. Sodipo
    Department of Statistics, University of Ibadan, Ibadan, Nigeria
  • C. G. Udomboso
    Department of Statistics, University of Ibadan, Ibadan, Nigeria

Keywords:

randomized response, proportion, sensitive group, maximum likelihood estimator, sampling distribution

Abstract

In this paper, we proposed a new Randomized Response Model (RRM) that estimate proportion of people in a population (P) belonging to a sensitive group (S) under study. Simple random sampling with replacement and strati?ed simple random sampling scheme were adopted. Maximum likelihood and Bayesian estimation procedures of the proposed model were developed and compared. The sampling distribution (expectation and variance) of the proposed estimator under the two sampling techniques, e?ciency comparison of the proposed model with some existing models, and numerical illustration of all the compared models were also explored. We found that the proposed model outperformed other existing RRMs in terms of e?ciency and it proved to be more protective in designing survey for sensitive related issues.

Dimensions

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Published

2020-02-28

How to Cite

A Modifed Forced Randomized Response Model. (2020). Journal of the Nigerian Society of Physical Sciences, 2(1), 36-50. https://doi.org/10.46481/jnsps.2020.30

Issue

Volume 2, Issue 1, February 2020

Section

Original Research
Copyright & Licensing

Copyright (c) 2020 Journal of the Nigerian Society of Physical Sciences

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

A Modifed Forced Randomized Response Model. (2020). Journal of the Nigerian Society of Physical Sciences, 2(1), 36-50. https://doi.org/10.46481/jnsps.2020.30

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