JSM Preliminary Online Program
This is the preliminary program for the 2006 Joint Statistical Meetings in Seattle, Washington.

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 2006 Program page

Activity Number: 151
Type: Contributed
Date/Time: Monday, August 7, 2006 : 10:30 AM to 12:20 PM
Sponsor: IMS
Abstract - #305796
Title: Residuals and Diagnostics in Dirichlet Regression
Author(s): Rafiq Hijazi*+
Companies: United Arab Emirates University
Address: CBE Statistics Department, Al Ain, 17555, United Arab Emirates
Keywords: compositional data ; Dirichlet regression ; quantile residuals ; Aitchison's distance
Abstract:

Compositional data are rarely analyzed with the usual multivariate statistical methods. One approach to model such data is Dirichlet regression. We present various diagnostic methods for Dirichlet regression models. We discuss the use of quantile residuals to check the distributional assumptions. Measures of total variability and goodness of fit are proposed to assess the adequacy of the suggested models. An R-square measure based on Aitchison's distance is introduced. The likelihood distance is employed to identify the influential compositions. Finally, an example with real data is presented and discussed.

  • 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 2006 program

JSM 2006 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 April, 2006