Response Surface Methodology

Process and product optimisation

Douglas C. Montgomery, Raymond Myers

798 pages, parution le 17/06/2002 (2^eme édition)

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Résumé

Identifying and fitting an appropriate response surface model from experimental data requires knowledge of statistical experimental design fundamentals, regression modeling techniques, and elementary optimization methods. This book integrates these three topics into a comprehensive, state-of-the-art presentation of response surface methodology (RSM).

This new second edition has been substantially rewritten and updated to include new topics and material, new examples, and to more fully illustrate modern applications of RSM. The authors have made the computer a more integral part of their presentation, employing the most common and useful software packages. They bring an applied focus to the subject of RSM, emphasizing methods that are useful in industry for product and process design and development.

Features include:

Coverage of two-level factorial and fractional factorial design, and empirical modeling of RSM
Optimization techniques useful in RSM, including multiple responses
Classical and modern response surface designs, including computer-generated designs
The RSM approach to robust parameter design and process robustness studies
Comprehensive treatment of mixture experiments
Revised and expanded end-of-chapter problems, an extensive reference section, and valuable technical appendices on RSM
Supported by Design-Expert software

Response Surface Methodology develops the underlying theory of RSM, describes the assumptions and conditions necessary to successfully apply it, and provides comprehensive and authoritative discussion of current topics for statisticians, engineers, and students.

Contents

1. Introduction.
2. Statistical Foundation for Comparison.
3. Comparison in Linear Models.
4. Nonparametric Comparison.
5. Comparison of Rates.
6. Comparison in Generalized Linear Models.
7. Additional Topics of Comparison in Generalized Linear Models.
8. Comparison in Structural Equation Modeling.
9 Comparison with Categorical Latent Variables.
10. Comparison in Multilevel Analysis.
References.
Index.

L'auteur - Douglas C. Montgomery

Douglas C. Montgomery is the ASU Foundation Professor of Engineering at Arizona State University, Tempe. He is the author of 13 books and over 160 technical papers. He is a Fellow of the American Statistical Association and the American Society of Quality.

L'auteur - Raymond Myers

RAYMOND H. MYERS, PhD, is Professor Emeritus in the Department of Statistics at Virginia Polytechnic Institute and State University.

Caractéristiques techniques

	PAPIER
Éditeur(s)	Wiley
Auteur(s)	Douglas C. Montgomery, Raymond Myers
Parution	17/06/2002
Édition	2^eme édition
Nb. de pages	798
Format	16 x 24
Couverture	Relié
Poids	1244g
Intérieur	Noir et Blanc
EAN13	9780471412557
ISBN13	978-0-471-41255-7