Overview
- Provides a comprehensive introduction to modern experimental design
- Offers a step-by-step guide to the planning process, including a planning checklist, and emphasizes practical considerations
- A wide variety of experiment designs are presented
- Nearly all data sets in the book have been derived from real experiments
- Details of the planning stage of numerous different experiments are discussed
- Explains all the basics of analysis including estimation of treatment contrasts and analysis of variance, and applies these in a wide variety of settings
- Sample SAS programs are included
Part of the book series: Springer Texts in Statistics (STS)
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Table of contents (19 chapters)
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Front Matter
Keywords
About this book
Reviews
This is a readable book presenting the basic concepts, principles, and techniques of design and analysis of experiments. Written with a view to making it accessible to a wide audience, the authors make concerted efforts to avoid using calculus and linear algebra and, wherever needed, a low mathematical level is used for presentation. Rather than performing exploratory data analysis, the concentration here is on the use of prespecified models and preplanned analyses. Model assumptions are clearly stated, and checked through the use of residual plots rather than formal tests. All analyses are presented by using standard linear models under the assumption of normality. It is the experimentwise control of the error rate and confidence levels on which the presentation is focused as opposed to individual error rates and confidence levels. The popular "Taguchi techniques", used extensively in an industrial set-up, are included and appear throughout several chapters.
The book contains enough material for an instructor to offer a course ranging from one semester to one year. An attractive feature of this book is the inclusion of numerous real experiments which were either run by students or extracted from published articles---thus bringing home to students the practical utility of statistical designs. The authors have done a commendable job in presenting, explaining, and elucidating the fundamental concepts of design and analysis of experiments through illustrative examples. A carefully selected set of exercises is provided at the end of each chapter for students to test their understanding of the material.
--Mathematical Reviews
Editors and Affiliations
Bibliographic Information
Book Title: Design and Analysis of Experiments
Editors: Angela Dean, Daniel Voss
Series Title: Springer Texts in Statistics
DOI: https://doi.org/10.1007/b97673
Publisher: Springer New York, NY
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eBook Packages: Springer Book Archive
Copyright Information: Springer Science+Business Media New York 1999
Softcover ISBN: 978-1-4757-7292-0Published: 16 March 2013
eBook ISBN: 978-0-387-22634-7Published: 06 April 2006
Series ISSN: 1431-875X
Series E-ISSN: 2197-4136
Edition Number: 1
Number of Pages: XX, 742
Topics: Probability Theory and Stochastic Processes, Science, Humanities and Social Sciences, multidisciplinary, Statistical Theory and Methods, Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences