JSM 2004 - Toronto

Abstract #300684

This is the preliminary program for the 2004 Joint Statistical Meetings in Toronto, Canada. Currently included in this program is the "technical" program, schedule of invited, topic contributed, regular contributed and poster sessions; Continuing Education courses (August 7-10, 2004); and Committee and Business Meetings. This on-line program will be updated frequently to reflect the most current revisions.

To View the Program:
You may choose to view all activities of the program or just parts of it at any one time. All activities are arranged by date and time.

The views expressed here are those of the individual authors
and not necessarily those of the ASA or its board, officers, or staff.

Back to main JSM 2004 Program page
Activity Number: 435
Type: Contributed
Date/Time: Thursday, August 12, 2004 : 10:30 AM to 12:20 PM
Sponsor: SSC
Abstract - #300684
Title: Estimation of Nonlinear Models with Berkson Measurement Errors
Author(s): Liqun Wang*+
Companies: University of Manitoba
Address: Dept. of Statistics, Winnipeg, MB, R3T 2N2, Canada
Keywords: nonlinear regression ; errors in variables ; method of moments ; minimum distance estimator ; simulation-based estimator ; semiparametric models
Abstract:

This paper is concerned with general nonlinear regression models where the predictor variables are subject to Berkson-type measurement errors. The measurement errors are assumed to have a general parametric distribution, which is not necessarily normal, while the distribution of the random error in the regression equation is nonparametric. A minimum-distance estimator is proposed based on the first two conditional moments of the response variable given the observed predictor variables. A simulation-based estimator is also constructed to overcome the possible computational difficulty of minimizing an objective function which involves multiple integrals. Consistency and asymptotic normality for both estimators are derived under general conditions.

  • 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 2004 program

JSM 2004 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.
Revised March 2004