Journal of Statistical Theory and Practice

, Volume 6, Issue 2, pp 376–381 | Cite as

Unbiased Estimation of a Sensitive Proportion in General Sampling by Three Nonrandomized

  • Arijit ChaudhuriEmail author


Contrasting with well-publicized randomized response (RR) techniques (RRT) claimed to be useful in estimating the proportion of people bearing a sensitive characteristic in a given community, recently nonrandomized response (NRR) techniques (NRRT) are emerging. As with most early RRTs, the NRRTs to date are applied exclusively to samples selected by simple random sampling (SRS) with replacement (SRSWR) scheme alone. This article shows how three NRR schemes in vogue may be used in unbi-ased estimation even when a sample may be selected following a general scheme. The current literature stresses maximum likelihood estimation (MLE) rather than unbiased estimation (UE) when these NRR schemes are employed.

AMS Subject Classification



Alternatives to RR in data gathering on sensitive items Estimating a proportion bearing a stigmatizing feature General sampling designs 


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Copyright information

© Grace Scientific Publishing 2011

Authors and Affiliations

  1. 1.Indian Statistical InstituteKolkataIndia

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