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Design and Analysis of Experiments, Introduction to Experimental Design (Wiley Series in Probability and Statistics) (Volume 1)
 
 
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Design and Analysis of Experiments, Introduction to Experimental Design (Wiley Series in Probability and Statistics) (Volume 1) [Hardcover]

Klaus Hinkelmann (Author), Oscar Kempthorne (Author)
3.7 out of 5 stars  See all reviews (3 customer reviews)


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Hardcover, March 1994 --  

Book Description

0471551783 978-0471551782 March 1994
Of the many areas in which statisticians and scientists must combine their knowledge, none is more important than the design and analysis of experiments. There is a direct relationship between the quality of experimental design and analysis and the validity of conclusions drawn from experimental results. Design and Analysis of Experiments is the first of two volumes that update Oscar Kempthorne's groundbreaking 1952 classic of the same name.

This first volume establishes both the philosophical basis for experimental design and a mathematical-statistical framework within which to discuss the subject. A sharp distinction is drawn between observation studies and the intervention studies that are the primary topic of this book. A thorough discussion of linear models provides the basic tools of analysis for intervention studies. At the heart of the book is a series of error-control designs based on fundamental design principles such as randomization, blocking, the Latin square principle, the split-unit principle, and the notion of factorial treatment structure. There are also discussions of response surface and mixture designs, and the construction of customized designs based on one or more fundamental principles.

This is the ultimate textbook for a first-year graduate course in experimental design. A thorough understanding of the material covered in this book will fully prepare students to grapple with the more complex technical material presented in advanced courses in experimental design.

The classic text now updated and expanded for the 1990s...

Design and Analysis of Experiments is the first of a two-volume update of Oscar Kempthorne's celebrated classic of the same name. This first volume is concerned primarily with the philosophical basis for experimental design and a mathematical-statistical framework within which to discuss the subject. As the primary focus is on intervention studies, the authors begin with a thorough discussion of linear models. At the heart of the book, is a series of error-control designs based on fundamental design principles such as randomization, blocking, the Latin square principle, the split-unit principle, and the notion of factorial treatment structure. The material covered in this book will more than prepare first-year graduate students for the challenges of more advanced courses in experimental design.


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Editorial Reviews

Review

"This book is an ideal textbook for graduate courses in experimental design and also a practical reference book for statisticians and researchers across a wide array of subject areas, including biological sciences, engineering and business." (Biometrical Journal, August 2008)

"The revisions, reorganization, and addition certainly enhance the value of this edition. Like the first edition, the current edition will continue to play an important role in the arena of statistical design of experiments." (Technometrics, November 2008)

"The revisions, reorganization, and addition certainly enhance the value of this edition. Like the first edition, the current edition will continue to play an important role in the arena of statistical design of experiments." (Technometrics, Nov 2008)

"This book is an ideal textbook for graduate courses in experimental design and also a practical reference book for statisticians and researchers across a wide array of subject areas, including biological sciences, engineering and business." (Biometrical Journal, Aug 2008) --This text refers to an alternate Hardcover edition.

From the Publisher

Provides readers with a solid understanding of the philosophical basis and principles of experimental design. Contains a broad knowledge of available designs together with their assumptions, construction, use and analysis. Draws a sharp distinction between observational and intervention studies, especially in connection with the analysis of data. Coverage includes a detailed discussion of linear models theory, various error-control designs and factorial experiments.

Product Details

  • Hardcover: 512 pages
  • Publisher: Wiley-Interscience (March 1994)
  • Language: English
  • ISBN-10: 0471551783
  • ISBN-13: 978-0471551782
  • Product Dimensions: 9.3 x 6.4 x 1.3 inches
  • Shipping Weight: 1.9 pounds
  • Average Customer Review: 3.7 out of 5 stars  See all reviews (3 customer reviews)
  • Amazon Best Sellers Rank: #2,390,339 in Books (See Top 100 in Books)

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3.7 out of 5 stars (3 customer reviews)
 
 
 
 
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1 of 2 people found the following review helpful:
5.0 out of 5 stars Design and analysis of Exp. Intro. to Exp. Design (Volume I), March 29, 2009
By 
Niwat Muangkeow (Thasala, Thailand) - See all my reviews
(REAL NAME)   
Best for graduate students in agricultural science.
Good numerical examples using the statistical software.
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0 of 1 people found the following review helpful:
1.0 out of 5 stars Poorly-written book handicaps self-learning, March 9, 2011
This is an extremely poorly-written book, I do not recommend it for learning about experimental design. I am an engineering graduate student and need to learn about experimental design for my thesis, and this was one of the first books I read. This was a mistake. The author uses terms without defining them, obfuscates the terms he does define with his poorly-chosen examples, introduces confusing and ultimately useless concepts about experimental design, and to top it all off, the terminology that is used is not shared with any other textbook in the field (none that I could find, anyway), meaning the user is left twisting in the wind, without recourse to a better or alternative textbook. The index is also poor, which is not a surprise - if the author can't be bothered to define his own terminology, why would he bother to provide a thorough index? This is one of the worst volumes to pick up if you are trying to learn experimental design on your own.
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1 of 7 people found the following review helpful:
5.0 out of 5 stars heuristic and insightful reference, June 12, 2006
This review is from: Design and Analysis of Experiments, Introduction to Experimental Design (Wiley Series in Probability and Statistics) (Volume 1) (Hardcover)
Given that it is published in 1994, this text is still the heuristic and insightful reference for a first-year graduate course in experimental design. The material mentioned in this book will nodoubtly enable students to tackle the complex technical materials presented in advanced courses and journal articles regarding experimental designing.
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Inside This Book (learn more)
First Sentence:
In order to understand the role of statistics, generally, and the role of design of experiments in particular. Read the first page
Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
design random variables, square type designs, derived linear model, pollution chambers, rightmost bracket, stochastic linear model, generalized randomized block design, appropriate linear model, absolute experiments, underlying linear model, alias structure, independent randomizations, randomization theory, main effect plan, basic syllogism, randomization analysis, subject matter model, incomplete block designs, estimable functions, linear model theory, shortest solution, ith treatment, completely randomized design, randomized complete block design, generalized interaction
Key Phrases - Capitalized Phrases (CAPs): (learn more)
John Doe, Corrected Total, Monte Carlo, John Smith
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