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Activity Number: 608
Type: Contributed
Date/Time: Wednesday, August 12, 2015 : 2:00 PM to 3:50 PM
Sponsor: Biometrics Section
Abstract #316639
Title: Density Estimation from Ranked Set Samples in the Presence of Ranking Error
Author(s): Kaushik Ghosh* and Manoj Chacko
Companies: The University of Nevada, Las Vegas and University of Kerala
Keywords: Ranked set sampling ; ranking error ; Bayes ; MCMC
Abstract:

In this talk, we will describe the use of Bayesian techniques to estimate the underlying density from a ranked set sample. The ranking is assumed to be done based on a surrogate variable, possibly leading to ranking error. The proposed method will attempt to estimate the degree of ranking error as well as estimate the true density function. Illustrative examples and results of simulation studies will be provided.

Authors who are presenting talks have a * after their name.

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