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An Improvement Over Kim and Elam Stratified Unrelated Question Randomized Response Mode Using Neyman Allocation

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Abstract

The present study considers the use of stratified random sampling with Neyman allocation to Mangat (Jour. Ind. Soc. Agril. Statist. 44, 82–87, 1992) unrelated question randomized response strategy for completely truthful reporting. It has been shown that, for the prior information given, our new model is more efficient in terms of variance (in the case of completely truthful reporting) than Kim and Elam’s (Statist. Papers 48, 215–233, 2007) model. Numerical illustrations and graphs are also given in support of the present study.

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Authors and Affiliations

  1. School of Studies in Statistics, Vikram University, Ujjain, 456010, India

    Housila P. Singh & Tanveer A. Tarray

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  1. Housila P. Singh
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  2. Tanveer A. Tarray
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Correspondence to Tanveer A. Tarray.

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Singh, H.P., Tarray, T.A. An Improvement Over Kim and Elam Stratified Unrelated Question Randomized Response Mode Using Neyman Allocation. Sankhya B 77, 91–107 (2015). https://doi.org/10.1007/s13571-014-0088-5

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  • DOI: https://doi.org/10.1007/s13571-014-0088-5

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