Fundamental Concepts in the Design of Experiments [Hardcover]

Charles R. Hicks (Author)

Book Description

ISBN-10: 0195105818 | ISBN-13: 978-0195105810 | Publication Date: January 1, 1994 | Edition: 4

This brief yet comprehensive text covers the essentials of experimental design used by applied researchers in solving problems in the field. It is appropriate for a variety of experimental methods courses found in engineering and statistics departments. Students learn to use applied statistics for planning, running, and analyzing an experiment. The text includes 350+ problems taken from the author's actual industrial consulting experiences to give students valuable practice with real data and problem solving. The use of the computer is promoted and SAS (Statistical Analysis System) computer programs are incorporated to facilitate analysis. Coverage of the analysis of residuals, the concepts of resolution in fractional replications, the Plackett-Burman designs, and Taguchi techniques isnew to this edition.

Editorial Reviews

Review

"An excellent presentation of the basic concepts of experimental design. It uses many numerical examples with 'real' data. It is clearly written and at the appropriate level for my students."--Noel Artiles-Leon, University of Puerto Rico --This text refers to an alternate Hardcover edition.

About the Author

Charles R. Hicks, Professor Emeritus, Statistics and Education, Purdue University. --This text refers to an out of print or unavailable edition of this title.

Product Details

• Hardcover: 528 pages
• Publisher: Oxford University Press, USA; 4 edition (January 1, 1994)
• Language: English
• ISBN-10: 0195105818
• ISBN-13: 978-0195105810
• Product Dimensions: 9.3 x 6.4 x 1.2 inches
• Shipping Weight: 2 pounds
• Average Customer Review: 3.0 out of 5 stars  See all reviews (3 customer reviews)
• Amazon Best Sellers Rank: #1,811,345 in Books (See Top 100 in Books)

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Customer Reviews

Most Helpful Customer Reviews

14 of 14 people found the following review helpful:

4.0 out of 5 stars Excellent, if you already know theoretical statistics, June 12, 1999

By 

Dr. Christof Luchsinger (cl@luchsinger-mathem... (Zurich, Switzerland) - See all my reviews

This review is from: Fundamental Concepts in the Design of Experiments (Hardcover)

This book is written for people who already know the theory of statistics and want to do statistic consulting.

The author begins with the basics of design of experiments: experiment, design and analysis. Then a brief (lovely) review of statistical inference follows; including: Estimation, test of hypothesis, power function and some easy applications.

In the following chapters almost all statistical methods are presented; among others: single factor experiments, randomized block and latin square, factorial experiments, nested, experiments of two or more factors, 2^f -, 3^f factorials, split plot design, Taguchi, regression and finally miscellaneous topics including covariance analysis, response-surface experimentation and more.

After each chapter there are problems and answers to odd-numbered problems can be found at the end of the book. Included is a practical summery with all methods presented in one table. Additionally you find a glossary of terms used in statisics, statistical tables and an index.

The examples in the book are analysed using SAS. Knowing that S-Plus is much easier to handle (and knowing that SAS is frequently used in the industry), this is very useful.

The mathematics used is easy, but - as mentioned in the preface - the fundamental concepts of statistical inference must be known.

10 of 13 people found the following review helpful:

1.0 out of 5 stars Statistics by example only - very little theory/concepts, March 13, 1999

By A Customer

This review is from: Fundamental Concepts in the Design of Experiments (Hardcover)

After using this book for a class, we all agreed that this book was not the best for those of us who are just learning the concepts in analyzing variance. The author tends to assume the basics are "hard-coded" into the students head. Fair enough. His next step, however, is not to discuss the theory/concept. Rather, it is to give an example of what he is talking about, hoping you will grasp the concept. It would very helpful to have the concepts explained and then the examples given. In addition, the notation (subscripts) are not always explained, nor are the formulas obvious/straightforward. Finally, the book has editing problems.

A better editor and supplementary manuals (step-by-step explanation of concepts and formulas, SPSS instruction, etc.) would be a big help.

My recommendation would be to find another book from which you will learn statistics.

1 of 2 people found the following review helpful:

4.0 out of 5 stars Fundamental Concepts in the Design of Experiments, September 15, 2000

By 

S.L.B. (Kentucky) - See all my reviews

This review is from: Fundamental Concepts in the Design of Experiments (Hardcover)

This book is very valuable for those actively engaged in the conduct of experiments, either operational or developmental in nature. It does require someone with a background in statistical methods using analysis of variance. The user needs to have a good understanding of statistical inference. There are many good working models of various analytic procedures provided.