JSM 2011 Online Program

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Abstract Details

Activity Number: 560
Type: Topic Contributed
Date/Time: Wednesday, August 3, 2011 : 2:00 PM to 3:50 PM
Sponsor: Section on Nonparametric Statistics
Abstract - #301750
Title: Estimation of the Distribution in Selection Bias Models: A Ranked-Set Sampling Approach
Author(s): Kaushik Ghosh*+ and Ram C. Tiwari
Companies: University of Nevada at Las Vegas and U.S. Food and Drug Administration/CDER/OTS/OB
Address: , , ,
Keywords: ranked set sampling ; biased sampling ; empirical distribution
Abstract:

In this talk, we will discuss the problem of estimation of the underlying distribution when observations are collected as ranked set samples from various weight-biased versions of this distribution. We propose a nonparametric estimator of the distribution and investigate its large-sample properties. Finally, we look at the effect of imperfect ranking and present the results of a simulation study.


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