Design and Analysis of Experiments, Introduction to Experimental Design (Wiley Series in Probability and Statistics) (Volume 1)
Language: English
Published by Wiley-Interscience, 1994
Series: Book 140 of 358 - Wiley Series in Probability and Statistics
- Hardcover
- Used
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- Title
- Design and Analysis of Experiments, Introduction to Experimental Design (Wiley Series in Probability and Statistics) (Volume 1)
- Author
- Hinkelmann, Klaus; Kempthorne, Oscar
- Publisher
- Wiley-Interscience
- Publication year
- 1994
- Condition
- acceptable
- Binding
- Hardcover
- Language
- English
- ISBN 10
- 0471551783
- ISBN 13
- 9780471551782
- Series
- Book 140 of 358: Wiley Series in Probability and Statistics
This first volume establishes both the philosophical basis for experimental design and a mathematical–statistical framework within which to discuss the subject. A sharp distinction is drawn between observation studies and the intervention studies that are the primary topic of this book. A thorough discussion of linear models provides the basic tools of analysis for intervention studies. At the heart of the book is a series of error–control designs based on fundamental design principles such as randomization, blocking, the Latin square principle, the split–unit principle, and the notion of factorial treatment structure. There are also discussions of response surface and mixture designs, and the construction of customized designs based on one or more fundamental principles.
This is the ultimate textbook for a first–year graduate course in experimental design. A thorough understanding of the material covered in this book will fully prepare students to grapple with the more complex technical material presented in advanced courses in experimental design.
The classic text now updated and expanded for the 1990s...
Design and Analysis of Experiments is the first of a two–volume update of Oscar Kempthorne′s celebrated classic of the same name. This first volume is concerned primarily with the philosophical basis for experimental design and a mathematical–statistical framework within which to discuss the subject. As the primary focus is on intervention studies, the authors begin with a thorough discussion of linear models. At the heart of the book, is a series of error–control designs based on fundamental design principles such as randomization, blocking, the Latin square principle, the split–unit principle, and the notion of factorial treatment structure. The material covered in this book will more than prepare first–year graduate students for the challenges of more advanced courses in experimental design.
"Synopsis" may belong to another edition of this title.
About the Author
OSCAR KEMPTHORNE, ScD, is Emeritus Professor of Statistics and Emeritus Distinguished Professor in Liberal Arts and Sciences at Iowa State University. He received his bachelor′s, master′s, and doctor of science degrees from Cambridge University and was named Honorary Doctor of Philosophy by Ioannina University in Greece. He is a Fellow of the American Statistical Association, the Institute of Mathematical Statistics, and the American Association for the Advancement of Science, an Honorary Fellow of the Royal Statistical Society, and a Member of the International Statistical Institute. In addition, Dr. Kempthorne is a past president of the Eastern North American Region (ENAR) of the Biometric Society, a former chairman of the Statistics Section of the American Association for the Advancement of Science, and past president of the Institute of Mathematical Statistics.
"About the title" may belong to another edition of this title.
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