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A new estimator of proportion with a linear function using data from two-decks randomized response model
Authors:Augustus Jayaraj  Stephen A Sedory  Oluseun Odumade
Institution:1. Department of Statistical Science, Cornell University, Ithaca, New York, USA;2. Department of Mathematics, Texas A&3. M University–Kingsville, Kingsville, Texas, USA;4. Deloitte, Minneapolis, MN, USA
Abstract:A new estimator for estimating the proportion of a potentially sensitive attribute in survey sampling has been introduced by solving a linear equation. The proposed estimator has been compared with the estimator proposed by Odumade and Singh (2009) with equal protection to all of the respondents. The asymptotic properties of the proposed estimator are investigated through exact numerical illustrations for different choices of parameters. A non randomized response approach has been suggested. A scope for further research has also been pointed out.
Keywords:Randomized response sampling  Estimation of proportion  Mean square error  Relative efficiency  
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