This is the program for the 2010 Joint Statistical Meetings in Vancouver, British Columbia.

Abstract Details

Activity Number: 507
Type: Topic Contributed
Date/Time: Wednesday, August 4, 2010 : 10:30 AM to 12:20 PM
Sponsor: SSC
Abstract - #309115
Title: Density Estimation for Data Measured with General Measurement Errors
Author(s): Jiayang Sun*+
Companies: Case Western Reserve University
Address: Department of Statsitics, Cleveland, OH, 44022, USA
Keywords: Measurement error ; mixture estimation ; non-Fourier method ; nonparametric procedure
Abstract:

In this talk, a new approach to density estimation based on data measured with general measurement errors is studied. The measurement errors are assumed to be distributed from a known or unknown histogram. The backbone of the new approach is an interface our Non-Fourier estimation procedure and Mixture estimation.


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