Estimating Gain in Efficiency in Complicated Randomized Response Surveys versus Simpler Alternatives

Authors

  • Arijit Chaudhuri Indian Statistical Institute, Kolkata, India
  • Dipika Patra Seth Anandram Jaipuria College, Kolkata, India

DOI:

https://doi.org/10.3329/ijss.v24i1.72021

Keywords:

PPSWOR; Qualitative & Quantitative Randomized Response Surveys; Ratio-type estimator of Hartley-Ross; SRSWOR; Symmetrized Des Raj estimator; URL; Warner.

Abstract

Hartley and Ross’s (1954) ratio-type unbiased estimator for a finite population total based on a Simple Random Sample taken Without Replacement (SRSWOR) is examined for its performance versus the expansion estimator from the sample data at hand by Chaudhuri and Samaddar (2022). They also examined how Des Raj (1956) estimator based on PPSWOR performs against SRSWOR combined with expansion estimator using PPSWOR sample values. Here we study the expansion of them to Randomized Response survey data.

International Journal of Statistical Sciences, Vol.24(1), March, 2024, pp 75-84

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Published

2024-03-28

How to Cite

Chaudhuri, A. ., & Patra, D. . (2024). Estimating Gain in Efficiency in Complicated Randomized Response Surveys versus Simpler Alternatives. International Journal of Statistical Sciences, 24(1), 75–84. https://doi.org/10.3329/ijss.v24i1.72021

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Section

Original Articles