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Empirical Model-Building and Response Surfaces (Wiley Series in Probability and Statistics)
 
 
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Empirical Model-Building and Response Surfaces (Wiley Series in Probability and Statistics) [Hardcover]

George E. P. Box (Author), Norman R. Draper (Author)
5.0 out of 5 stars  See all reviews (3 customer reviews)


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Book Description

0471810339 978-0471810339 January 1987 1
An innovative discussion of building empirical models and the fitting of surfaces to data. Introduces the general philosophy of response surface methodology, and details least squares for response surface work, factorial designs at two levels, fitting second-order models, adequacy of estimation and the use of transformation, occurrence and elucidation of ridge systems, and more. Some results are presented for the first time. Includes real-life exercises, nearly all with solutions.


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An innovative discussion of building empirical models and the fitting of surfaces to data. Introduces the general philosophy of response surface methodology, and details least squares for response surface work, factorial designs at two levels, fitting second-order models, adequacy of estimation and the use of transformation, occurrence and elucidation of ridge systems, and more. Some results are presented for the first time. Includes real-life exercises, nearly all with solutions.

Product Details

  • Hardcover: 688 pages
  • Publisher: Wiley; 1 edition (January 1987)
  • Language: English
  • ISBN-10: 0471810339
  • ISBN-13: 978-0471810339
  • Product Dimensions: 9.3 x 6.4 x 1.4 inches
  • Shipping Weight: 2.3 pounds
  • Average Customer Review: 5.0 out of 5 stars  See all reviews (3 customer reviews)
  • Amazon Best Sellers Rank: #932,051 in Books (See Top 100 in Books)

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27 of 27 people found the following review helpful:
5.0 out of 5 stars another good book on response surfaces, February 9, 2008
This review is from: Empirical Model-Building and Response Surfaces (Wiley Series in Probability and Statistics) (Hardcover)
George Box and Norman Draper have written an outstanding text on model building and response surface methods. This is an excellent companion to Box's text with Stu Hunter and William Hunter on experimental designs "Statistics for Experimenters". Another excellent, more recent and detailed account of response surface methods can be found in the book by Montgomery and Myers.
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1 of 1 people found the following review helpful:
5.0 out of 5 stars An invaluable resource, May 31, 2001
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David A. Andrae "dave_a" (Austin, TX United States) - See all my reviews
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This review is from: Empirical Model-Building and Response Surfaces (Wiley Series in Probability and Statistics) (Hardcover)
This text give a top to bottom account of model building via RSM. If you have a question, consult this book.
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1 of 3 people found the following review helpful:
5.0 out of 5 stars Excellent book, January 14, 1999
By A Customer
This review is from: Empirical Model-Building and Response Surfaces (Wiley Series in Probability and Statistics) (Hardcover)
I do a lot of experimental work for my research and this book is definetely a good investment. I rate it amongst the best in the subject
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Inside This Book (learn more)
First Sentence:
In these chapter we discuss, in a preliminary way, some general philosophy necessary to the understanding of the theory and practice of response methodology (RSM). Read the first page
Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
order rotatable designs, unlogged data, fitted second degree equation, polysulfide index, graduating function, quadratic lack, textile data, quadratic tendency, minimum bias estimation, operability region, alias matrix, estimated response function, first degree model, constraining plane, canonical reduction, alphabetic optimality, second degree model, confidence cone, pure error sum, rate ridge, stationary ridge, factorial effects, degree polynomial model, important main effects, contractive transformation
Key Phrases - Capitalized Phrases (CAPs): (learn more)
American Chemical Society, John Wiley, New York, Rubber Age, Miss Freeny, Adhesives Age, Sugar Research Foundation, World Sugar Research Organization
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