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Statistical Design and Analysis of Industrial Experiments (Statistics:  A Series of Textbooks and Monographs)
 
 
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Statistical Design and Analysis of Industrial Experiments (Statistics: A Series of Textbooks and Monographs) [Hardcover]

Ghosh (Author)

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Editorial Reviews

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. . .succeeds in pulling together work from experts in both academic research and industry. . ..will be most useful for people who work in different areas of experimental design as a good reference book.
---Journal of the Royal Statistical Society

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Inside This Book (learn more)
First Sentence:
In the primary stage of designing a new product, design of experiments is effectively used for quality and cost improvement. Read the first page
Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
foldover method, nonnegligible parameters, multiresponse model, multiresponse parameter estimation, optimal balanced designs, orthogonal polynomial model, search linear model, dac setting, orthogonal factorial structure, standard main effect, robust parameter design, probing designs, multiresponse techniques, window size data, balanced fractional, factorial effects, multiresponse analysis, cyclic designs, multiresponse data, symmetrical factorial design, treatment labels, average efficiency factors, confounded degrees, air pollution variables, aliasing scheme
Key Phrases - Capitalized Phrases (CAPs): (learn more)
New York, Journal of Quality Technology, Marcel Dekker, Technical Report, Box-Draper Estimation Criterion, John Wiley, North Carolina, Technical Journal, Academic Press, Department of Statistics, Design Digest, University of Wisconsin-Madison, Utilitas Math, American Supplier Institute, Central Japan Quality Control Association, Sankhya Ser, Three-Stage Design, Bell Laboratories, Journal of the Royal Statistical Society, National Bureau of Standards, Asian Productivity Organization, Fort Collins, Genichi Taguchi, Journal of the American Statistical Association, Known Transfer Functions
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