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Response Surface Methodology: Process and Product Optimization Using Designed Experiments (Wiley Series in Probability and Statistics)
 
 
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Response Surface Methodology: Process and Product Optimization Using Designed Experiments (Wiley Series in Probability and Statistics) (Hardcover)

by Raymond H. Myers (Author), Douglas C. Montgomery (Author) "In the practical application of response surface methodology (RSM) it is necessary to develop an approximating model for the true response surface..." (more)
Key Phrases: variance dispersion graphs, process robustness studies, transistor gain data, Source Squares, Sum of Mean, Final Equation (more...)
4.4 out of 5 stars  (7 customer reviews)

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Response Surface Methodology: Process and Product Optimization Using Designed Experiments (Wiley Series in Probability and Statistics) Design and Analysis of Experiments
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Editorial Reviews
Review
"…illustrates very well modeling experimental data using regression and response surface ideas…I recommend it highly." (Journal of Statistical Computation and Simulation, January 2006)

"A textbook for a graduate level course on the optimization of response surfaces under experiment." (SciTech Book News, Vol. 26, No. 2, June 2002)

"...highly recommended for purchase by all readers of this journal..." (Technometrics, Vol. 44, No. 3, August 2002)

"This book remains an excellent choice as a textbook...as well as for use by practitioners..." (Journal of the American Statistical Association, December 2002)

"...I recommend this book to anyone who would like a good, solid understanding of response surface methodology...easy to read, easy to understand, and very applicable...the examples are excellent and facilitate learning of the concepts and methods." (Journal of Quality Technology, Vol. 35, No. 4, October 2003)

Technometrics, Vol. 44, No. 3, August 2002
"...highly recommended for purchase by all readers of this journal..."

See all Editorial Reviews


Product Details
  • Hardcover: 824 pages
  • Publisher: Wiley-Interscience; 2 edition (February 5, 2002)
  • Language: English
  • ISBN-10: 0471412554
  • ISBN-13: 978-0471412557
  • Product Dimensions: 9.2 x 6.2 x 1.8 inches
  • Shipping Weight: 2.7 pounds (View shipping rates and policies)
  • Average Customer Review: 4.4 out of 5 stars  (7 customer reviews)
  • Amazon.com Sales Rank: #283,717 in Books (See Bestsellers in Books)

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    #8 in  Books > Science > Mathematics > Applied > Engineering > Statistics

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  • Also Available in: Hardcover (1) |  All Editions