ISBN: 9780387714349
PROCESS OPTIMIZATION: A Statistical Approachis a textbook for a course in experimental optimization techniques for industrial production processes and other "noisy" systems where the main… Mehr…
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ISBN: 9780387714349
PROCESS OPTIMIZATION: A Statistical Approachis a textbook for a course in experimental optimization techniques for industrial production processes and other "noisy" systems where the main… Mehr…
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2007, ISBN: 0387714340
[EAN: 9780387714349], Neubuch, [PU: Springer US], PROZESSOPTIMIERUNG; QUALITYCONTROL,RELIABILITY,SAFETYANDRISK; ANOVA; ANALYSIS; ANALYSISOFVARIANCE; MATLAB; MAPLE; REGRESSION; ELECTRONICS… Mehr…
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ISBN: 9780387714349
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PROCESS OPTIMIZATION: A STATISTICAL APPROACH (INTERNATIONAL SERIES IN OPERATIONS RESEARCH & MANAGEMENT SCIENCE) - gebunden oder broschiert
2007, ISBN: 9780387714349
Springer, 2007. 1st. Hardcover. New/New., Springer, 2007, 6
Biblio.co.uk |
ISBN: 9780387714349
PROCESS OPTIMIZATION: A Statistical Approachis a textbook for a course in experimental optimization techniques for industrial production processes and other "noisy" systems where the main… Mehr…
ISBN: 9780387714349
PROCESS OPTIMIZATION: A Statistical Approachis a textbook for a course in experimental optimization techniques for industrial production processes and other "noisy" systems where the main… Mehr…
2007
ISBN: 0387714340
[EAN: 9780387714349], Neubuch, [PU: Springer US], PROZESSOPTIMIERUNG; QUALITYCONTROL,RELIABILITY,SAFETYANDRISK; ANOVA; ANALYSIS; ANALYSISOFVARIANCE; MATLAB; MAPLE; REGRESSION; ELECTRONICS… Mehr…
ISBN: 9780387714349
Hardback. New. This is an ideal textbook for students of experimental optimization techniques used in industrial production processes. It presents a detailed treatment of Bayesian Optimi… Mehr…
PROCESS OPTIMIZATION: A STATISTICAL APPROACH (INTERNATIONAL SERIES IN OPERATIONS RESEARCH & MANAGEMENT SCIENCE) - gebunden oder broschiert
2007, ISBN: 9780387714349
Springer, 2007. 1st. Hardcover. New/New., Springer, 2007, 6
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Detailangaben zum Buch - Process Optimization by Enrique del Castillo Hardcover | Indigo Chapters
EAN (ISBN-13): 9780387714349
ISBN (ISBN-10): 0387714340
Gebundene Ausgabe
Taschenbuch
Erscheinungsjahr: 2007
Herausgeber: Enrique del Castillo
462 Seiten
Gewicht: 0,798 kg
Sprache: eng/Englisch
Buch in der Datenbank seit 2007-07-05T14:37:06+02:00 (Berlin)
Detailseite zuletzt geändert am 2023-07-12T07:46:59+02:00 (Berlin)
ISBN/EAN: 0387714340
ISBN - alternative Schreibweisen:
0-387-71434-0, 978-0-387-71434-9
Alternative Schreibweisen und verwandte Suchbegriffe:
Autor des Buches: enrique del castillo
Titel des Buches: operations research, process management, statistical edition, international optimization, enrique castillo
Daten vom Verlag:
Autor/in: Enrique del Castillo
Titel: International Series in Operations Research & Management Science; Process Optimization - A Statistical Approach
Verlag: Springer; Springer US
462 Seiten
Erscheinungsjahr: 2007-08-06
New York; NY; US
Sprache: Englisch
53,49 € (DE)
54,99 € (AT)
59,00 CHF (CH)
Available
XVIII, 462 p. 76 illus.
BB; Hardcover, Softcover / Mathematik/Wahrscheinlichkeitstheorie, Stochastik, Mathematische Statistik; Wahrscheinlichkeitsrechnung und Statistik; Verstehen; ANOVA; Analysis; Analysis of variance; MATLAB; Maple; Regression; electronics; linear regression; mathematical programming; model; optimization; programming; simulation; quality control, reliability, safety and risk; Probability Theory; Security Science and Technology; Engineering Design; Statistical Theory and Methods; Statistics; Mathematical Modeling and Industrial Mathematics; Stochastik; Sicherheitssysteme und Brandmeldeanlagen; Konstruktion, Entwurf; Mathematische Modellierung; Mathematik für Ingenieure; BC
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.A much stronger treatment of the topic than the Wiley books published in this area for these reasons: (1) on the strength of the book’s author and (2) on its coverage and treatment of process optimization Provides in the form of a text a contemporary account not only of the classical techniques and tools used in Design of Experiments (DOE) and Response Surface Methods (RSM), but also to present more advanced process optimization techniques from the recent literature which has not been used that much in industrial practice Contains a mix of technical and practical sections, appropriate for a first year graduate text in the subject or useful for self-study or reference Includes supplementary material: sn.pub/extras
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