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Statistical Design and Analysis of Experiments, with Applications to Engineering and Science
 
 
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Statistical Design and Analysis of Experiments, with Applications to Engineering and Science [Hardcover]

Robert L. Mason (Author), Richard F. Gunst (Author), James L. Hess (Author)
5.0 out of 5 stars  See all reviews (2 customer reviews)

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Book Description

0471372161 978-0471372165 February 14, 2003 2
Emphasizes the strategy of experimentation, data analysis, and the interpretation of experimental results.
  • Features numerous examples using actual engineering and scientific studies.
  • Presents statistics as an integral component of experimentation from the planning stage to the presentation of the conclusions.
  • Deep and concentrated experimental design coverage, with equivalent but separate emphasis on the analysis of data from the various designs.
  • Topics can be implemented by practitioners and do not require a high level of training in statistics.
  • New edition includes new and updated material and computer output.

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Statistical Design and Analysis of Experiments, with Applications to Engineering and Science + Design of Experiments for Engineers and Scientists + DOE Simplified: Practical Tools for Effective Experimentation, Second Edition
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Editorial Reviews

Review

"With an excellent presentation, this is suitable as a textbook in a graduate level course in design of experiments." (Journal of Statistical Computation and Simulation, April 2005)

"...can really provide useful information for the intended audience..." (Zentralblatt Math, Vol. 1029, 2004)

“...a practitioner’s guide to statistical methods for designing and analyzing experiments...” (Quarterly of Applied Mathematics, Vol. LXI, No. 3, September 2003)

"...a perfect desktop reference..." (Technometrics, Vol. 45, No. 3, August 2003)

From the Publisher

A practical guide to statistical methods useful in designing and analyzing experiments. An introductory section provides background information. Part I presents elementary descriptive statistics and graphical displays. Part II addresses experimental design. Part III discusses analysis of data from each of the designs presented in Part II. Part IV is devoted to regression modelling. --This text refers to an out of print or unavailable edition of this title.

Product Details

  • Hardcover: 760 pages
  • Publisher: Wiley-Interscience; 2 edition (February 14, 2003)
  • Language: English
  • ISBN-10: 0471372161
  • ISBN-13: 978-0471372165
  • Product Dimensions: 9.6 x 6.1 x 1.6 inches
  • Shipping Weight: 2.6 pounds (View shipping rates and policies)
  • Average Customer Review: 5.0 out of 5 stars  See all reviews (2 customer reviews)
  • Amazon Best Sellers Rank: #565,319 in Books (See Top 100 in Books)

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32 of 33 people found the following review helpful:
5.0 out of 5 stars nicely written and applications oriented, February 15, 2008
Mason, Gunst and Hess have done a great deal of consulting in industry which has provided them with an understanding of the design and analysis of linear and nonlinear models. In fact, I have had some direct experience with Bob Mason from Southwest Research Institute. When I was working at a medical device company owned by St. Jude Medical Inc., Southwest Research Institute had been contracted to analyze data from one of our animal experiments for defibrillation thresholds. As the new statistician in the company I needed to get acquainted with their work. The book illustrates many designs using real world problems. The first 5 chapters (88 pages) cover elementary statistical concepts and methods. The next 6 chapters (145 pages) cover designs. Most standard designs are covered including full factorials, balanced incomplete blocks, latin squares, fractional factorials and nested and crossover designs. There is also a chapter on response surface designs including rotatable designs, central composite designs and Box-Behnken designs. The rest of the book, some 368 pages, deals with statistical analysis of data from designed experiments. It makes a very good reference source.
The only disadvantage of it is that there have been many advances in the design of experiments since 1989 when the book was published. The topic of robust parameter design is not covered because much of the development occurred after 1989. Hints of the topic and mention of the Taguchi approach appear only on pages 108-110. To learn much more about the recent developments in the design of experiments see Hamada and Wu (2000) "Experiments". My review of Hamada and Wu can be found on Amazon.
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1 of 22 people found the following review helpful:
5.0 out of 5 stars Design and experimental, July 6, 1999
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Inside This Book (learn more)
First Sentence:
In this chapter we introduce basic statistical concepts and terminology that are fundamental to the use of statistics in experimental work. Read the first page
Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
joint factor effects, average torque measurements, possible reduced models, appropriate experimental region, coded factor levels, estimated relative wear rate, random factor levels, two repeat tests, random factor effects, comprehensive regression analysis, staggered nested designs, estimated error standard deviation, fixed factor effects, complete factorial experiment, skin color measurements, quantitative factor levels, three repeat tests, central limit property, hierarchically nested designs, reproducibility designs, studentized deleted residuals, fractional factorial experiments, supersaturated designs, stepwise selection methods, wet miles
Key Phrases - Capitalized Phrases (CAPs): (learn more)
New York, John Wiley, Block Rep, Steel Nonporous Lub, Third Edition, Aluminum Nonporous Lub, Marcel Dekker, Steel Porous Lub, Aluminum Porous Lub, Factor Run, Fourth Edition, Journal of Quality Technology, Test Time, Aluminum Nonporous Lob, Duxbury Press, Genichi Taguchi, San Antonio, Southwest Research Institute, Steel Porous Lob, The American Statistician, United States, Aluminum Porous Lob, Englewood Cliffs, Iowa State University Press, One-Sided Upper
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