The views expressed here are those of the individual authors and not necessarily those of the JSM sponsors, their officers, or their staff.
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.
|
The address information is for the authors that have a + after their name.
Authors who are presenting talks have a * after their name.
Back to the full JSM 2011 program
|
2011 JSM Online Program Home
For information, contact jsm@amstat.org or phone (888) 231-3473.
If you have questions about the Continuing Education program, please contact the Education Department.