2007, ISBN: 9780387714356

A Statistical Approach, eBooks, eBook Download (PDF), Auflage, PROCESS OPTIMIZATION: A Statistical Approach is a textbook for a course in experimental optimization techniques for industri… Plus…

A Statistical Approach, eBooks, eBook Download (PDF), Auflage, PROCESS OPTIMIZATION: A Statistical Approach is a textbook for a course in experimental optimization techniques for industrial production processes and other &quote;noisy&quote; 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.&nbsp; [PU: Springer US], Seiten: 480, [ED: 1], Springer US, 2007<

ISBN: 9780387714356

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 mai… Plus…

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. ; PDF; Scientific, Technical and Medical > Mathematics > Probability & statistics, Springer New York<

2007, ISBN: 9780387714356

Springer, Kindle Edition, Auflage: 2007, 480 Seiten, Publiziert: 2007-09-14T00:00:00.000Z, Produktgruppe: Digital Ebook Purchas, Products, Industrial Design, Industrial, Manufacturing & O… Plus…

Springer, Kindle Edition, Auflage: 2007, 480 Seiten, Publiziert: 2007-09-14T00:00:00.000Z, Produktgruppe: Digital Ebook Purchas, Products, Industrial Design, Industrial, Manufacturing & Operational Systems, Engineering & Transportation, Subjects, Books, Production, Operation & Management, Quality Control, Linear Programming, Applied, Mathematics, Science & Math, Probability & Statistics, Specialty Boutique, Kindle eBooks, Categories, Kindle Store, Industrial Engineering, Kindle eTextbooks, Specialty Stores, Science & Mathematics, Selection Test A1VC38T7YXB528, Selection Test ATVPDKIKX0DER, Selection Test A3UN6WX5RRO2AG, Selection Test A1PA6795UKMFR9, Selection Test A1F83G8C2ARO7P, Selection Test A13V1IB3VIYZZH, Selection Test A3AEGXETSR30VB, Selection Test A3P5ROKL5A1OLE, Selection Test A3JWKAKR8XB7XF, Selection Test A3R76HOPU0Z2CB, Selection Test A1IM4EOPHS76S7, Selection Test A138L1TOL8PIJT, Selection Test A3T4TT2Z381HKD, Selection Test A3LJ5WMKNRFKQS, English Language Store, Format: Kindle eBook, Springer, 2007<

2007, ISBN: 9780387714356

Springer, Kindle Ausgabe, Auflage: 2007, 480 Seiten, Publiziert: 2007-09-14T00:00:00.000Z, Produktgruppe: Digital Ebook Purchas, Wirtschaftsingenieurwesen, Ingenieurwissenschaften, Fachbü… Plus…

Springer, Kindle Ausgabe, Auflage: 2007, 480 Seiten, Publiziert: 2007-09-14T00:00:00.000Z, Produktgruppe: Digital Ebook Purchas, Wirtschaftsingenieurwesen, Ingenieurwissenschaften, Fachbücher, Kategorien, Bücher, Statistik, Naturwissenschaft & Mathematik, Industriedesign, Design, Film, Kunst & Kultur, Ingenieurwissenschaft & Technik, Naturwissenschaften & Technik, Fremdsprachige Bücher, Technologie & Transport, Fremdsprachige eBooks, Kindle eBooks, Kindle-Shop, Wissenschaft & Natur, Lineare Programmierung, Angewandte Mathematik, Englische eBooks, Nach Sprache, Wahrscheinlichkeit & Statistik, Architektur, Technik & Ingenieurswesen, Format: Kindle eBook, Springer, 2007<

ISBN: 9780387714356

Process Optimization - A Statistical Approach: ab 53.49 € eBooks > Sachthemen & Ratgeber > Technik Springer-Verlag GmbH eBook als pdf, Springer-Verlag GmbH