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Science/Engineering Statistical Mechanics, Third Edition
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Science/Engineering Enrique del Castillo - Process Optimization: A Statistical Approach
Posted on 2010-03-16
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More Enrique del Castillo - Process Optimization: A Statistical Approach PROCESS OPTIMIZATION: A Statistical Approach is a textbook for a course in experimental optimization techniques for industrial production processes and other "noisy" systems where the main emphasis is process optimization. The book can also be used as a reference text by Industrial, Quality and Process Engineers and Applied Statisticians working in industry, in particular, in semiconductor/electronics manufacturing and in biotech manufacturing industries. The major features of PROCESS OPTIMIZATION: A Statistical Approach are: * It provides a complete exposition of mainstream experimental design techniques, including designs for first and second order models, response surface and optimal designs; * Discusses mainstream response surface method in detail, including unconstrained and constrained (i.e., ridge analysis and dual and multiple response) approaches; * Includes an extensive discussion of Robust Parameter Design (RPD) problems, including experimental design issues such as Split Plot designs and recent optimization approaches used for RPD; * Presents a detailed treatment of Bayesian Optimization approaches based on experimental data (including an introduction to Bayesian inference), including single and multiple response optimization and model robust optimization; * Provides an in-depth presentation of the statistical issues that arise in optimization problems, including confidence regions on the optimal settings of a process, stopping rules in experimental optimization and more; * Contains a discussion on robust optimization methods as used in mathematical programming and their application in response surface optimization; * Offers software programs written in MATLAB and MAPLE to implement Bayesian and frequentist process optimization methods; * Provides an introduction to the optimization of computer and simulation experiments including and introduction to stochastic approximation and stochastic perturbation stochastic approximation (SPSA) methods; * Includes an introduction to Kriging methods and experimental design for computer experiments; * Provides extensive appendices on Linear Regression, ANOVA, and Optimization Results. Do you know only a small part of all books is visible on the AvaxHome Homepage (@ Home)? To see all of them use Download Link (EBooks) category. If you enjoy my books look at my A Thief @ AvaxHome - read before using any RapidShare link
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