The views expressed here are those of the individual authors and not necessarily those of the JSM sponsors, their officers, or their staff.
Online Program Home
Abstract Details
Activity Number:
|
111
|
Type:
|
Topic Contributed
|
Date/Time:
|
Monday, July 30, 2012 : 8:30 AM to 10:20 AM
|
Sponsor:
|
Quality and Productivity Section
|
Abstract - #304834 |
Title:
|
Efficient Designs with Minimal Aliasing
|
Author(s):
|
Bradley Allen Jones*+
|
Companies:
|
SAS Institute
|
Address:
|
SAS Campus Dr., Cary, NC, 27513,
|
Keywords:
|
experiment design, aliasing
|
Abstract:
|
For some experimenters, a disadvantage of the standard optimal design approach is that it does not explicitly consider the aliasing of specified model terms with terms that are potentially important but are not included in the model. For example, when constructing an optimal design for a first-order model, aliasing of main effects and interactions is ignored. This can lead to designs that are optimal for estimation of the primary effects of interest, yet have undesirable aliasing structures. In this talk, I show how to construct exact designs that minimize the squared norm of the alias matrix subject to constraints on design efficiency. I also provide a number of practical examples showing the utility of this approach.
|
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 2012 program
|
2012 JSM Online Program Home
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.