Publication Date

1998

Document Type

Dissertation/Thesis

First Advisor

Feltz, Carol J.

Degree Name

M.S. (Master of Science)

Department

Department of Mathematics

LCSH

Response surfaces (Statistics)||Optimal designs (Statistics)||Experimental design

Abstract

Many articles, reviews, and books on the subject of optimal designs for determining response surfaces have been published in the three or so decades since such designs were introduced. However, some important developments have occurred in the past five years. One of these is that l-optimal designs can now be easily obtained by one or more computer programs. These have two major advantages over other kinds of designs: 1. The criterion for optimality is closest to that usually described as most desirable; 2. One can usually obtain an l-optimal design which has quality features equivalent to alternates, but having fewer runs. Obviously, this feature takes on added importance when runs are very expensive and/or time-consuming. A second important development is the appearance of new or improved software tailored for a “userfriendly” approach to using response surface methodology. One such package has a module that enables an experimenter to compare alternate choices of designs on the basis of the ability to minimize the standard error of prediction in the experimental region of interest. This allows an experimenter, even one not highly trained in statistics, to make an intelligent choice before investing time and money in doing the experiments.

Comments

Includes bibliographical references (pages 31-32)

Extent

48 pages

Language

eng

Publisher

Northern Illinois University

Rights Statement

In Copyright

Rights Statement 2

NIU theses are protected by copyright. They may be viewed from Huskie Commons for any purpose, but reproduction or distribution in any format is prohibited without the written permission of the authors.

Media Type

Text

Share

COinS