A Comprehensive Guide to Factorial Two-Level Experimentation
Language: English
Published by Springer, Springer, 2014
- Softcover
- New
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
AbeBooks seller since August 14, 2006
Condition: New
US$ 151.22
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Add to basketItem description from seller
Druck auf Anfrage Neuware - Printed after ordering - Factorial designs enable researchers to experiment with many factors. The 50 published examples re-analyzed in this guide attest to the prolific use of two-level factorial designs. As a testimony to this universal applicability, the examples come from diverse fields: Analytical Chemistry, Animal Science, Automotive Manufacturing, Ceramics and Coatings, Chromatography, Electroplating, Food Technology, Injection Molding, Marketing, Microarray Processing, Modeling and Neural Networks, Organic Chemistry, Product Testing, Quality Improvement, Semiconductor Manufacturing, and Transportation.Focusing on factorial experimentation with two-level factors makes this book unique, allowing the only comprehensive coverage of two-level design construction and analysis. Furthermore, since two-level factorial experiments are easily analyzed using multiple regression models, this focus on two-level designs makes the material understandable to a wide audience. This book is accessible to non-statisticians having a grasp of least squares estimation for multiple regression and exposure to analysis of variance. 'This book contains a wealth of information, including recent results on the design of two-level factorials and various aspects of analysis. The examples are particularly clear and insightful.' (William Notz, Ohio State University)'One of the strongest points of this book for an audience of practitioners is the excellent collection of published experiments, some of which didn't 'come out' as expected. A statistically literate non-statistician who deals with experimental design will have plenty of motivation to read this book, and the payback for the effort will be substantial.' (Max Morris, Iowa State University).…
Seller Inventory # 9781489982704
- Title
- A Comprehensive Guide to Factorial Two-Level Experimentation
- Author
- Robert Mee
- Publisher
- Springer, Springer
- Publication year
- 2014
- Condition
- Neu
- Binding
- Taschenbuch
- Language
- English
- ISBN 10
- 1489982701
- ISBN 13
- 9781489982704
- Item weight
- 850 grams
- Dimensions
- 235x155x31 mm
Statistical design of experiments is useful in virtually every quantitative field. Two-level factorial designs, which are the focus of this book, provide the most efficient plans for exploring the effects of many factors at once. Engineers, physical scientists, and all who conduct experiments will find this book indispensible. The analysis of 50 published experiments from diverse fields gives the book broad appeal.
"Synopsis" may belong to another edition of this title.
From the Back Cover
Factorial designs enable researchers to experiment with many factors. The 50 published examples re-analyzed in this guide attest to the prolific use of two-level factorial designs. As a testimony to this universal applicability, the examples come from diverse fields:
- Analytical Chemistry
- Animal Science
- Automotive Manufacturing
- Ceramics and Coatings
- Chromatography
- Electroplating
- Food Technology
- Injection Molding
- Marketing
- Microarray Processing
- Modeling and Neural Networks
- Organic Chemistry
- Product Testing
- Quality Improvement
- Semiconductor Manufacturing
- Transportation
Focusing on factorial experimentation with two-level factors makes this book unique, allowing the only comprehensive coverage of two-level design construction and analysis. Furthermore, since two-level factorial experiments are easily analyzed using multiple regression models, this focus on two-level designs makes the material understandable to a wide audience. This book is accessible to non-statisticians having a grasp of least squares estimation for multiple regression and exposure to analysis of variance.
Robert W. Mee is Professor of Statistics at the University of Tennessee. Dr. Mee is a Fellow of the American Statistical Association. He has served on the Journal of Quality Technology (JQT) Editorial Review Board and as Associate Editor for Technometrics. He received the 2004 Lloyd Nelson award, which recognizes the year’s best article for practitioners in JQT.
"This book contains a wealth of information, including recent results on the design of two-level factorials and various aspects of analysis… The examples are particularly clearand insightful." (William Notz, Ohio State University
"One of the strongest points of this book for an audience of practitioners is the excellent collection of published experiments, some of which didn’t ‘come out’ as expected… A statistically literate non-statistician who deals with experimental design will have plenty of motivation to read this book, and the payback for the effort will be substantial." (Max Morris, Iowa State University)
"About the title" may belong to another edition of this title.
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