JSM 2004 - Toronto

Abstract #300769

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: 304
Type: Contributed
Date/Time: Wednesday, August 11, 2004 : 8:30 AM to 10:20 AM
Sponsor: Section on Quality and Productivity
Abstract - #300769
Title: The Normality of Flatness Measurements and The Best of k Vendors Based on CPU
Author(s): Abdelaziz Berrado*+ and Norma F. Hubele and Esma S. Gel
Companies: Arizona State University and Arizona State University and Arizona State University
Address: Dept. of Industrial Engineering, Tempe, AZ, 85287-5906,
Keywords: capability index ; vendor selection ; coefficient of variation
Abstract:

Flatness measurements are observations recorded on a quality characteristic with lower specification limit and ideal value of zero and a non-zero, positive upper specification limit. Based on the definition and operational definition of flatness in ANSI, we would anticipate that the underlying distribution of flatness measurements would be positively skewed. The analysis and fitting of 20 industrial datasets from four different processes and three different materials provide evidence that the underlying distribution is, in fact, the symmetric Gaussian distribution. As a result, the capability index CPU, which is merely a linear function of the inverse coefficient of variation, and all the associated theory supporting hypothesis testing is available. A general procedure for testing the equality of the CPUs of k independent samples is suggested.

  • 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