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Practical Experiment Designs: for Engineers and Scientists

Most books cover the subject from a statistical or theoretical point of view. Ideal for working engineers, this book uses real-world examples and boils statistical theory and analysis down to its simplest form.
* Features new and updated material, including cases and a larger focus on multivariate analysis.
* Uses simple analysis tools for practical implementation on the job.
* Targets experiment planning as the groundwork for quality experiments.

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2 Comments
  1. V. Haynes says
    2 of 2 people found the following review helpful
    4.0 out of 5 stars
    Bought as text, September 15, 2008
    By 
    V. Haynes (St. Louis, MO, USA) –

    Verified Purchase(What’s this?)
    This review is from: Practical Experiment Designs: for Engineers and Scientists (Paperback)
    I bought this book as a required text for a Design of Experiments (DOE) class. The explanations are pretty straight forward. Answers to problems are in back of the book, a plus.
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  2. Steven Marks says
    17 of 19 people found the following review helpful
    5.0 out of 5 stars
    Title says it all, August 2, 2001
    By 
    Steven Marks (Petaluma, CA United States) –
    (REAL NAME)
      

    This review is from: Practical Experiment Designs: for Engineers and Scientists (Paperback)
    This book is a great introduction to ballanced orthogonal experimental designs. The so-called Scientific Method (tweak one parameter while holding the other variables fixed) is not used that much where there are complicated interactions between variables. This Designed Experimental (DOX) approach is used more frequently in the Semiconductor industry. This approach envolves a series of experiments where all the variables are potentially changed form one trial to another, but in such a way that one can resolved the effects of one variable from another AND understand interactions and non-linear effects. It is simply the best way to optimize a complicated system.
    OK, if you have SAS or RS/1 or …packages you may ask yourself “why bother learning the theory.” I would say for 2 reasons – if you need to manually intervene or supplement an existing experiment AND seeing some more designs that are very effecient (John’s 3/4 designs and Plackett-Burman designs) for initial screening that is not ususally part of the packages.
    Compared to Box, Box, Hunter this book is easier to read, has a huge summary fold out sheet and is geared to a practicing engineer or scientist not a professional mathematician. Best introduction and most likely the only book you will ever need on the subject.
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