Experiments
Planning, Analysis and Parameter Design Optimization
Published on 24. April 2000
Book
Hardback
664 pages
978-0-471-25511-6 (ISBN)
Description
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.
Reviews / Votes
"Wu and Hamada's book also possesses all the elements it needs to become a classic...this book is a great reference for both researchers and practitioners." (Interfaces, September-October 2003) "It is an impressive volume that seems likely to become a standard text." (Short Book Reviews, Vol. 20, No. 3, December 2000) "I agree with the authors that this book is an excellent reference resource for experienced design-of-experiments practitioners." (Technometrics, Vol. 42, No. 4, May 2001) "A one sentence review of this text would report that it contains a wealth of information...an impressive text. I would highly recommend this as a reference book..." (Journal of Quality Technology, Vol. 34, No. 1, January 2002) "the book will serve as an excellent reference for practicing statiscians..." (Zentralblatt MATH, Vol.964, No.14, 2001) "...goes more deeply into certain subjects than do other available books... this is the book one will turn to for answering more complex questions." (Mathematical Geology, Vol. 35, No. 2, February 2003)More details
Series
Language
English
Place of publication
New York
United States
Publishing group
John Wiley and Sons Ltd
Target group
College/higher education
Professional and scholarly
Illustrations
Illustrations
Dimensions
Height: 243 mm
Width: 165 mm
Weight
960 gr
ISBN-13
978-0-471-25511-6 (9780471255116)
Copyright in bibliographic data is held by Nielsen Book Services Limited or its licensors: all rights reserved.
Schweitzer Classification
Other editions
New editions
Book
09/2009
2nd Edition
Wiley
€182.00
Shipment within 10-20 days
Persons
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.
Content
Basic Principles and Experiments with a Single Factor. Experiments With More Than One Factor. Full Factorial Experiments at Two Levels. Fractional Factorial Experiments at Two Levels. Full Factorial and Fractional Factorial Experiments at Three Levels. Other Design and Analysis Techniques for Experiments at More Than Two Levels. Nonregular Designs: Construction and Properties. Experiments with Complex Aliasing. Response Surface Methodology. Introduction to Robust Parameter Design. Robust Parameter Design for Signal-Response Systems. Experiments for Improving Reliability. Experiments With Nonnormal Data. Appendices. Indexes.