JSM 2005 - Toronto

Abstract #302871

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Legend: = Applied Session, = Theme Session, = Presenter
Activity Number: 105
Type: Contributed
Date/Time: Monday, August 8, 2005 : 8:30 AM to 10:20 AM
Sponsor: Section on Survey Research Methods
Abstract - #302871
Title: An Improved Randomized Response Model: Estimation of Mean
Author(s): Christpher Gjestvang*+ and Sarjinder Singh
Companies: St. Cloud State University
Address: Department of Statistics, St. Cloud, MN, 56301,
Keywords: Randomized Response Sampling ; Scrambled Responses ; Estimation of Mean ; Sensitive variables ; Privacy ; Efficiency
Abstract:

In the present investigation, we suggest a new randomized response model useful for collecting information on quantitative sensitive variables such as drug use and income. The resultant estimator has been found to be better than the usual additive randomized response model. An interesting feature of the proposed model is that it is free from the parameters of the scrambling variable, unlike the multiplicative and additive models due to Eichhorn and Hayre (1983). Relative efficiency of the proposed estimator also has been studied.

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