American Statistical Association
New York City
Metropolitan Area Chapter

Mailman School of Public Health
Columbia University
Department of Biostatistics Colloquium



ORTHOGONAL ARRAYS ROBUST TO
NONNEGLIGIBLE TWO-FACTOR INTERACTIONS

by

Prof. Boxin Tang
Department of Statistics and Actuarial Science
Simon Fraser University


Abstract

In this talk, I will discuss a class of designs that are robust to nonnegligible two-factor interactions. The focus will be on the main ideas and examples. The material will be presented at a level accessible to graduate students.

Regular fractional factorial designs with clear two-factor interactions provide a useful class of designs that are robust to nonnegligible two-factor interactions. In this paper, the concept of clear two-factor interactions is generalized to orthogonal arrays. The new concept leads to a much wider class of designs robust to nonnegligible two-factor interactions. We study the existence and construction of such designs in this paper. The designs we construct have a structure that render themselves particularly attractive in the robust parameter design setting. We also discuss an interesting connection between designs with clear two-factor interactions and mixed orthogonal arrays.


Date: Thursday, February 14, 2008
Time: 4:00 - 5:00 P.M.
Location: Mailman School of Public Health
Department of Biostatistics
722 West 168th Street
Judith Jansen Conference Room
4th Floor - Room 425
New York, New York

RESERVATIONS ARE NOT REQUIRED

Refreshments will be served at 3:30 P.M. in the
Biostatistics Conference Room (R627).


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