Design and analysis of experiments

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Wiley, 1997 - Science - 704 pages
6 Reviews
Extensively revised, this edition of the outstanding textbook features increased emphasis on the connection between the experiment and the model that the experimenter can develop from the results of the experiment. Material on factorial and fractional factorial designs has been expanded. Contains a new chapter on experiments with random factors which includes new material on variance component estimation. Problem sets vary in scope from computational exercises (designed to reinforce the fundamentals) to extensions or elaboration of basic principles.

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Review: Design and Analysis of Experiments

User Review  - Kalidhass Balasubramanian - Goodreads

This is the Best book available on the subject.The book covers less theory and more pratcial examples.The book contains DoE ouput files from Design expert and Minitab, which helps the readers to ... Read full review

Review: Design and Analysis of Experiments

User Review  - Andrea Ratti - Goodreads

I think that this text is one of the best to approach design of experiment topic. Every chapter is described quantitatively, with a lot of real examples. The weak part of the text, is represented by regression chapter, described in a too BOS way, with few quantitative demostrations. Read full review

Contents

Simple Comparative Experiments
20
Randomized Designs
33
Experiments with a Single Factor The Analysis
63
Copyright

15 other sections not shown

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About the author (1997)

DOUGLAS C. MONTGOMERY is ASU Foundation Professor of Engineering and Professor of Statistics at Arizona State University.

ELIZABETH A. PECK is Logistics Modeling Specialist at the Coca-Cola Company in Atlanta, Georgia.

G. GEOFFREY VINING is Professor and Head of the Department of Statistics at Virginia Polytechnic Institute and State University. All three authors have published extensively in both journals and books.

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