Overview
- The application of models are demonstrated by figures and data analysis
- Well readable by leaving out proofs within the text
- Advanced modelling of repeated measures and cross-over design
- Includes supplementary material: sn.pub/extras
Part of the book series: Springer Texts in Statistics (STS)
Access this book
Tax calculation will be finalised at checkout
Other ways to access
Table of contents (11 chapters)
-
Front Matter
-
Back Matter
Keywords
About this book
Reviews
From the reviews of the second edition:
"[This book] is a useful reference or graduate text to complement more common choices for introductory design of experiment books … the methods are logically and thoroughly developed in a rigorous, yet understandable manner. The emphasis on pharmaceutical applications throughout the book is helpful, because this continues to emerge as an important area of applications. The book would be helpful for statisticians and researchers in pharmaceutical areas once they had gained a solid understanding of the fundamentals of design of experiments." –Journal of the American Statistical Association
"The second edition of this book … has been reorganized with a list of topics similar to that of the first edition, but with a revised presentation and order. … much greater emphasis now placed on the analysis aspect of design of experiments. … a useful reference book or graduate text … . The methods are logically and thoroughly developed in a rigorous, yet understandable manner. … The book would be helpful for statisticians and researchers in pharmaceutical areas … ." (Christine M. Anderson Cook, Journal of the American Statistical Association, Vol. 98 (463), 2003)
"This book is mostly concerned with the mathematical detail of the topics in the contents. There are a few sets of data, to illustrate the material; on these, SAS, S-PLUS or SPSS is used for analysis. … This would be an excellent book for mathematics students who take a course in statistics, or graduate statistic students … ." (N. R. Draper, Short Book Reviews, Vol. 23 (1), 2003)
"Helge Toutenburg describes this text as a ‘resource/reference book which contains statistical methods used by researchers in applied areas.’ … the theory is described in a shorthand style that gets to the point without overburdening the reader with mathematical detail … . the author includes thorough discussions of generalized linear models(categorical data analysis) and repeated-measures designs. … a useful, self-contained reference for those who want a quick description of the underlying theory and practice for a large assortment of standard DOE problems." (Peter Wludyka, Technometrics, Vol. 45 (2), May, 2003)
From the reviews of the third edition:
“This book provides matter related to experimental designs which are of practical relevance. One can understand the subject matter without knowledge of high level mathematics. The book is suitable as a textbook for courses on experimental design in universities and institutions and as a resource book for researchers.” (B. L. Agarwal, Zentralblatt MATH, Vol. 1211, 2011)
Authors and Affiliations
Bibliographic Information
Book Title: Statistical Analysis of Designed Experiments, Third Edition
Authors: Helge Toutenburg, Shalabh
Series Title: Springer Texts in Statistics
DOI: https://doi.org/10.1007/978-1-4419-1148-3
Publisher: Springer New York, NY
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer-Verlag New York 2009
Hardcover ISBN: 978-1-4419-1147-6Published: 06 October 2009
Softcover ISBN: 978-1-4899-8339-8Published: 30 October 2014
eBook ISBN: 978-1-4419-1148-3Published: 24 December 2009
Series ISSN: 1431-875X
Series E-ISSN: 2197-4136
Edition Number: 3
Number of Pages: XVIII, 615
Topics: Probability Theory and Stochastic Processes, Life Sciences, general, Theory of Computation, Statistical Theory and Methods, Bioinformatics, Biostatistics