JSM 2005 Online Program

Abstract #303762

This is the preliminary program for the 2005 Joint Statistical Meetings in Minneapolis, Minnesota. 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, 2005); 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.

The Program has labeled the meeting rooms with "letters" preceding the name of the room, designating in which facility the room is located:

Minneapolis Convention Center = “MCC” Hilton Minneapolis Hotel = “H” Hyatt Regency Minneapolis = “HY”

Back to main JSM 2005 Program page

Legend:

= Applied Session,

= Theme Session,

= Presenter

Activity Number:	276
Type:	Contributed
Date/Time:	Tuesday, August 9, 2005 : 10:30 AM to 12:20 PM
Sponsor:	Section on Quality and Productivity
Abstract - #303762
Title:	A Simulation Study To Test the Accuracy of Using Maximum Likelihood Predictive Density in Quality Control Assuming the Power Rule Model and the Exponential Distribution
Author(s):	Adam Pintar*+ and Ananda A. Jayawardhana
Companies:	Iowa State University and Pittsburg State University
Address:	505 8th #12, Ames, IA, 50010,
Keywords:	Accelerated life testing ; Power law model ; Quality control ; Exponential distribution ; Predictive density
Abstract:	In this paper, we discuss the derivation of the Maximum Likelihood Predictive Density. The idea is to test a random sample of manufactured items under high stress levels for a period of time. Using the Type-II censored data, one can test a hypothesis of whether the process is in control. For a given stress level, which period of time should be used, and for a given time period, which level of stress should be used are two practical questions in this approach. We find the time period for a given level of stress and, by using a simulation study, check whether this gives correct coverage. We used two and three levels of acceleration for this study. This method consistently slightly underestimates the time period. We suggested an adjustment to improve the method.

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 2005 program