| A Comprehensive Guide to Factorial Two-Level Experimentation 2009 Edition Contributor(s): Mee, Robert (Author) |
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ISBN: 0387891021 ISBN-13: 9780387891026 Publisher: Springer OUR PRICE: $104.49 Product Type: Hardcover - Other Formats Published: July 2009 Annotation: Statistical design of experiments is useful in virtually every quantitative field. Use of the simplest experimental designs is pervasive. Practitioners interested in expanding their repertoire of tools will find this book a helpful guide. The examples from many fields will give the book broad appeal. |
| Additional Information |
| BISAC Categories: - Mathematics | Probability & Statistics - General - Science | Chemistry - General - Technology & Engineering | Mechanical |
| Dewey: 519.57 |
| LCCN: 2009927712 |
| Physical Information: 1.25" H x 6.14" W x 9.21" (2.13 lbs) 568 pages |
| Descriptions, Reviews, Etc. |
| Publisher Description: 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) |