Experiments: Planning, Analysis, and Parameter Design Optimization

C. F. Jeff Wu; Michael Hamada

ISBN 10: 0471255114 / ISBN 13: 9780471255116

Edité par Wiley-Interscience, 2000

A propos de cet article

The book is in good condition with all pages and cover intact, including the dust jacket if originally issued. The spine may show light wear. Pages may contain some notes or highlighting, and there might be a "From the library of" label. Boxed set packaging, shrink wrap, or included media like CDs may be missing.

N° de réf. du vendeur BSM.LU0Z

Détails bibliographiques

• Titre: Experiments: Planning, Analysis, and Parameter Design Optimization
• Éditeur: Wiley-Interscience
• Date de parution: 2000
• Langue: anglais
• ISBN à 10 chiffres: 0471255114
• ISBN à 13 chiffres: 9780471255116
• Reliure: Couverture rigide
• État de l'article: good

A propos de ce titre

Synopsis

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.

À propos de l?auteur

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.