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On the Study of Saturated and D-Optimal Saturated Designs for Two-Level Factorial Experiments

thesis
posted on 01.08.2020, 00:00 by Kouakou Francois Domagni
We contemplate an experimental situation in a $2^k$-factorial experiment with acute resource crunch so that we need to conduct just a saturated design [SD] - with the understanding that precision of the estimates cannot be estimated from the data. It is known beforehand which effect(s)/interaction(s) are likely to be negligible. We examine the flexibility to the extent that an experimenter can make a choice of an SD in order to retain information on all the remaining [non-negligible] effects/interactions.

History

Advisor

Hedayat, Samad

Chair

Hedayat, Samad

Department

Mathematics, Statistics and Computer Science

Degree Grantor

University of Illinois at Chicago

Degree Level

Doctoral

Degree name

PhD, Doctor of Philosophy

Committee Member

Yang, Min Wang, Jin Yang, Jie Basset, Gilbert

Submitted date

August 2020

Thesis type

application/pdf

Language

en

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