JSM 2004 - Toronto

Abstract #300040

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Activity Number: 92
Type: Invited
Date/Time: Monday, August 9, 2004 : 10:30 AM to 12:20 PM
Sponsor: Section on Quality and Productivity
Abstract - #300040
Title: Graphical Methods for Design Assessment for Designs Involving Generalized Linear Models
Author(s): Christine Anderson-Cook*+ and Ayca O. Godfrey and Raymond H. Myers
Companies: Virginia Polytechnic Institute and State University and Virginia Polytechnic Institute and State University and Virginia Polytechnic Institute and State University
Address: Dept. of Statistics, Blacksburg, VA, 24061-0439,
Keywords: design optimality ; scaled prediction variance ; fraction of design space plots
Abstract:

Fraction of design space plots have been used to assess designs in a number of design situations. Understanding the influence of initial parameter guesses on the choice of design locations is an important aspect that can be considered with the FDS plots. An important difference between the linear models and generalized linear models is the need for two separate measures, the scaled prediction variance and the penalized prediction variance, to summarize variance properties. Various types of robustness to parameter misspecification are considered and illustrated with several examples.

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Revised March 2004