Statistical Design and Analysis of Experiments (Classics in Applied Mathematics No 22. ) [Paperback]

Peter W. M. John (Author)

Book Description

ISBN-10: 0898714273 | ISBN-13: 978-0898714272 | Publication Date: August 1999

Readers will find this book an invaluable reference on the design of experiments. It contains hard-to-find information on topics such as change-over designs with residual effects and early treatment of analysis of covariance. Other topics include linear models and quadratic forms, experiments with one or more factors, Latin square designs, and fractions of 2n factorial designs. There is also extensive coverage of the analysis of incomplete block designs and of the existence and construction of balanced and partially balanced designs. A new preface (to the classics edition) describes the changes made in experimental design since the book was first published in 1971. It discusses the use of personal computers to analyze data and details the emergence of industrial statistics.

Editorial Reviews

Review

‘Peter John's book is truly a classic but not an outdated one. It was one of the first to blend in the standard matrix notation that almost all linear models books now use. It has topics and discussion that are still valuable today.’ Richard F. Gunst, Southern Methodist University

Product Details

• Paperback: 380 pages
• Publisher: Society for Industrial Mathematics (August 1999)
• Language: English
• ISBN-10: 0898714273
• ISBN-13: 978-0898714272
• Product Dimensions: 8.8 x 5.9 x 0.8 inches
• Shipping Weight: 1.2 pounds
• Average Customer Review: 5.0 out of 5 stars  See all reviews (1 customer review)
• Amazon Best Sellers Rank: #4,009,720 in Books (See Top 100 in Books)

More About the Author

Discover books, learn about writers, read author blogs, and more.

Customer Reviews

Most Helpful Customer Reviews

25 of 25 people found the following review helpful:

5.0 out of 5 stars another classic reprinted, February 15, 2008

By 

Michael R. Chernick "statman31147" (Holland PA) - See all my reviews
(REAL NAME)   

This review is from: Statistical Design and Analysis of Experiments (Classics in Applied Mathematics No 22. ) (Paperback)

This is a reprint of Peter John classic book on experimental designs originally published by MacMillan but now reprinted by the Society for Industrial and Applied Mathematics in their Classics in Applied Mathematics series. The book was written in 1971 and there have been many changes in philosophy for experimental designs since then. Also the revolution in computing has had an influence. In his "Preface to the Classics Edition" John reflects on the state of computing in 1966 when he first contracted to write the book and 1998 when the book was reprinted. He also describes the history of experimental design and extends it to the advances of Taguchi. It was industrial applications that attracted John to do research in experimental designs and he see industry as a rich source for design problems. The text covers all the classical design work with examples from agriculture and industry. It has heavy coverage of incomplete block designs and in Chapter 13 he demonstrates how to construct the various balanced incomplete block designs. There is a lot of theory. Although the title says design and analysis it is primarily a book on designs. Response surface methods and the evolutionary operation approach are also covered....