NONRANDOMIZED RESPONSE MODEL  FOR COMPLEX SURVEY DESIGNS

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Statistics in Transition New Series

Polish Statistical Association

Central Statistical Office of Poland

Subject: Economics, Statistics & Probability

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ISSN: 1234-7655
eISSN: 2450-0291

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VOLUME 20 , ISSUE 1 (March 2019) > List of articles

NONRANDOMIZED RESPONSE MODEL  FOR COMPLEX SURVEY DESIGNS

Raghunath Arnab / Dahud Kehinde Shangodoyin / Antonio Arcos

Keywords : complex survey designs, parallel model, randomized response, probability proportional to size, varying probability sampling

Citation Information : Statistics in Transition New Series. Volume 20, Issue 1, Pages 67-86, DOI: https://doi.org/10.21307/stattrans-2019-004

License : (CC BY-NC-ND 4.0)

Published Online: 27-May-2019

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ABSTRACT

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 designs in a unified setup, which is applicable to any sampling design and wider classes of estimators. Existing results for NRR can be derived from the proposed method as special cases.

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