Experiments: Planning, Analysis and Parameter Design Optimization (Wiley Series in Probability and Statistics) - Hardcover

Wu, C. F. Jeff; Hamada, Michael

Hardcover

ISBN 10: 0471255114 ISBN 13: 9780471255116

Verlag: John Wiley & Sons Inc, 2000

Inhaltsangabe

Experimental design is one of the most important subjects in statistics. Used in experimental investigations, statistically designed experiments are also a key tool for improving quality in industry and manufacturing. This practical book modernizes experimentation to develop a new system of design and analysis to define the area for years to come. The title's inclusion of modern, never--seen--before topics is compelling and the book will make an excellent complement to Wiley's best--selling Statistics for Experimenters.

Über diesen Titel

Über die Autorin bzw. den Autor

C. F. JEFF WU, PhD, is H. C. Carver Professor, Department of Statistics and Industrial and Operations Engineering, University of Michigan, Ann Arbor. He is a Fellow of the American Statistical Association and the Institute of Mathematical Statistics, and a recipient of the COPSS Award and numerous other awards and prizes. He is the author of about 100 published papers. MICHAEL HAMADA, PhD, is a technical staff member in the Statistical Sciences Group at Los Alamos National Laboratory in New Mexico. He has published 30 papers and has won the Technometrics' Wilcoxon Prize and the ASQC Brumbaugh Award.

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A modern and highly innovative guide to industrial experimental design

The past two decades have seen major progress in the use of statistically designed experiments for product and process improvement. In this new work, Jeff Wu and Michael Hamada, two highly recognized researchers in the field, introduce some of the newest discoveries in the design and analysis of experiments as well as their applications to system optimization, robustness, and treatment comparisons in the diverse fields of engineering, technology, agriculture, biology, and medicine.

Drawing on examples from their impressive roster of industrial clients (including GM, Ford, AT&T, Lucent Technologies, and Chrysler), Wu and Hamada modernize accepted methodologies, while presenting many cutting-edge topics for the first time in a single, easily accessible source. These include robust parameter design, reliability improvement, analysis of nonnormal data, analysis of experiments with complex aliasing, multilevel designs, minimum aberration designs, and orthogonal arrays. Other features include:

• Coverage of parameter design for system improvement first introduced by Taguchi in the mid-1980s
• An innovative approach to the treatment of design tables
• A discussion of new computing techniques, including graphical methods, generalized linear models, and Bayesian computing via Gibbs samplers
• Each chapter motivated by a real experiment
• Extensive case studies, including goals, data, and experimental plans
• More than 80 data sets as well as hundreds of charts, tables, and figures

Details zur Ausgabe

• Verlag: John Wiley & Sons Inc
• Erscheinungsdatum: 2000
• Sprache: Englisch
• ISBN 10: 0471255114
• ISBN 13: 9780471255116
• Einband: Tapa dura
• Anzahl der Seiten: 664
• Kontakt zum Hersteller: Nicht verfügbar
• Verantwortliche Person: Nicht verfügbar