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A true simulation study of three estimators at equal protection of respondents in randomized response sampling
Author(s) -
Singh Sarjinder,
Sedory Stephen A.
Publication year - 2012
Publication title -
statistica neerlandica
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.52
H-Index - 39
eISSN - 1467-9574
pISSN - 0039-0402
DOI - 10.1111/j.1467-9574.2012.00524.x
Subject(s) - estimator , randomized response , statistics , mathematics , sampling (signal processing) , econometrics , computer science , filter (signal processing) , computer vision
In this study, three different estimators for estimating the proportion of a sensitive attribute in survey sampling are compared at equal protection of the respondents. The three estimators considered are due to Odumade and Singh (2009, Comm. Statist. Theory Methods ), Singh and Sedory (2011, Sociological Methods and Research ) and a new estimator obtained by minimizing a chi‐squared distance. A SAS Macro is developed to compare these three estimators using a simulation study at equal protection of the respondents. A set of data from a real face‐to‐face interview was collected using two decks of cards and has been analyzed. The results are discussed.