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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… Plus…

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2010, ISBN: 9781441943965

Springer, Taschenbuch, Auflage: Softcover reprint of hardcover 1st ed. 2007, 484 Seiten, Publiziert: 2010-11-29T00:00:01Z, Produktgruppe: Buch, 1.62 kg, Risikomanagement, Kosten & Control… Plus…

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del Castillo, Enrique:
Process Optimization: A Statistical Approach (International Series in Operations Research & Management Science, Band 105) - Livres de poche

2010

ISBN: 9781441943965

Springer, Taschenbuch, Auflage: Softcover reprint of hardcover 1st ed. 2007, 484 Seiten, Publiziert: 2010-11-29T00:00:01Z, Produktgruppe: Buch, 1.62 kg, Risikomanagement, Kosten & Control… Plus…

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del Castillo, Enrique:
Process Optimization: A Statistical Approach (International Series in Operations Research & Management Science, Band 105) - Livres de poche

2010, ISBN: 9781441943965

Springer, Taschenbuch, Auflage: Softcover reprint of hardcover 1st ed. 2007, 484 Seiten, Publiziert: 2010-11-29T00:00:01Z, Produktgruppe: Book, Verkaufsrang: 5578, Risikomanagement, Koste… Plus…

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Process Optimization - Livres de poche

2010, ISBN: 9781441943965

A Statistical Approach, Buch, Softcover, Softcover reprint of hardcover 1st ed. 2007, [PU: Springer-Verlag New York Inc.], Springer-Verlag New York Inc., 2010

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Process Optimization by Enrique del Castillo Paperback | Indigo Chapters
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ISBN:

9781441943965


This book covers several bases at once. It is useful as a textbook for a second course in experimental optimization techniques for industrial production processes. In addition, it is a superb reference volume for use by professors and graduate students in Industrial Engineering and Statistics departments. It will also be of huge interest to applied statisticians, process engineers, and quality engineers working in the electronics and biotech manufacturing industries. In all, it 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.

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EAN (ISBN-13): 9781441943965
ISBN (ISBN-10): 144194396X
Version reliée
Livre de poche
Date de parution: 2010
Editeur: Enrique del Castillo
484 Pages
Poids: 0,725 kg
Langue: eng/Englisch

Livre dans la base de données depuis 2012-08-31T09:22:19+02:00 (Paris)
Page de détail modifiée en dernier sur 2022-10-07T16:27:43+02:00 (Paris)
ISBN/EAN: 9781441943965

ISBN - Autres types d'écriture:
1-4419-4396-X, 978-1-4419-4396-5
Autres types d'écriture et termes associés:
Auteur du livre: castillo
Titre du livre: process getting, optimization operations research, enrique castillo, 105

Données de l'éditeur

Auteur: Enrique del Castillo
Titre: International Series in Operations Research & Management Science; Process Optimization - A Statistical Approach
Editeur: Springer; Springer US
462 Pages
Date de parution: 2010-11-29
New York; NY; US
Imprimé / Fabriqué en
Langue: Anglais
53,49 € (DE)
54,99 € (AT)
59,00 CHF (CH)
POD
XVIII, 462 p. 76 illus.

BC; 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; BB; EA

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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