Fundamental Concepts in the Design of Experiments | 
 enlarge | Authors: Charles R. Hicks, Kenneth V. Turner
Publisher: Oxford University Press, USA
Category: Book
List Price: $129.00
Buy New: $67.39
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Rating:  3 reviews
Sales Rank: 35682
Media: Hardcover
Edition: 5
Pages: 565
Number Of Items: 1
Shipping Weight (lbs): 2.5
Dimensions (in): 9.4 x 7.4 x 1.2
ISBN: 0195122739
Dewey Decimal Number: 001.434
EAN: 9780195122732
Publication Date: March 25, 1999
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Condition: Hardcover. Brand new in excellent condition. Ready to ship. Receive within 4 days. Satisfaction guaranteed. US edition.
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Product Description
This text is a solid revision and redesign of Charles Hicks' comprehensive fourth edition of Fundamental Concepts in the Design of Experiments. It 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 as an experiment. 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. About 60 new problems have been added for this edition. SAS (Statistical Analysis System) computer programs are incorporated to facilitate analysis. There is extensive coverage of the analysis of residuals, the concepts of resolution in fractional replications, the Plackett-Burman designs, and Taguchi techniques. The new edition will place a greater emphasis on computer use, include additional problems, and add computer outputs from statistical packages like Minitab, SPSS, and JMP. The book is written for anyone engaged in experimental work who has a good background in statistical inference. It will be most profitable reading to those witha background in statistical methods including analysis of variance. This text is suitable for senior undergraduate/graduate level students in mathematics, statistics, or engineering. It is appropriate for a variety of experimental methods courses found in engineering and statistics deparmtents -- majors in this course are usually in applied statistics; non-majors, in industrial and electrical engineering, or education and life sciences.
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| Customer Reviews:
 Excellent, if you already know theoretical statistics June 12, 1999
Dr. Christof Luchsinger (cl@luchsinger-mathematics.ch) (Zurich, Switzerland)
11 out of 11 found this review helpful
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.
Fundamental Concepts in the Design of Experiments September 16, 2000
S.L.B. (Kentucky)
1 out of 1 found this review helpful
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.
 Statistics by example only - very little theory/concepts March 14, 1999
9 out of 11 found this review helpful
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.
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