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Handbook of Experimental Methods for Process Improvement (Solid State Science and Engineering Series)
 
 
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Handbook of Experimental Methods for Process Improvement (Solid State Science and Engineering Series) [Hardcover]

David C. Drain (Author)

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Book Description

0412127016 978-0412127014 April 1, 1997 1st
Clear and organized, this handbook shows engineers how to apply advanced statistical and experimental design methods to improve industrial and manufacturing processes. Throughout the text, concepts are developed in the context of industrial examples, and the use of software is made readily accessible to promote a better comprehension though graphical and statistical analysis.
Using a variety of pedagogical techniques and high-quality graphics, Handbook of Experimental Methods for Process Improvement provides an intuitive understanding of the field, enabling engineers to apply the methods discussed to practical applications.

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...a recommended acquisition for the SPC coordinator, the quality improvement engineer, or the manufacturer moving into SPC and TQM.- Quality World

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Inside This Book (learn more)
First Sentence:
Back in November I bought a new bicycle to drive to work, and I wanted that ride to be as comfortable and safe as possible. Read the first page
Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
beta risk curves, aliasing diagram, doping tubes, central composite experiment, gate oxide process, simple comparative experiments, normal loss function, postexposure bake, blocked experiments, pure error lack, metrology engineer, alpha risk, doping data, predictor settings, doping experiment, unreplicated factorials, unreplicated experiments, rinse time, rinse volume, categorical factor, kth replicate, fractional factorial experiment, central composite design, experimental risks, simplex design
Key Phrases - Capitalized Phrases (CAPs): (learn more)
General Linear Models Procedure-Dependent Variable, Step Action Result, Assess the Experiment, The Process of Experiment Design, Degrees of Parameter Parameter Freedom Estimate, Degrees of Type, Settings Factor, Subject Week, Midpoint Count, Run Contrast Brightness
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