Process Optimization | A Statistical Approach

Enrique Del Castillo

ISBN 10: 144194396X / ISBN 13: 9781441943965

Edité par Springer, 2010

Process Optimization | A Statistical Approach | Enrique Del Castillo | Taschenbuch | xviii | Englisch | 2010 | Springer | EAN 9781441943965 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu Print on Demand. N° de réf. du vendeur 107207327

Synopsis :

This book is an ideal 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, amongst other things, confidence regions on the optimal settings of a process and stopping rules in experimental optimization. It presents a detailed treatment of Bayesian Optimization approaches. It 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.

Présentation de l'éditeur:

This is an ideal textbook for students of experimental optimization techniques used in industrial production processes. It presents a detailed treatment of Bayesian Optimization approaches and it contains a mix of technical and practical sections.

Détails bibliographiques

Titre : Process Optimization | A Statistical Approach
Éditeur : Springer
Date d'édition : 2010
Reliure : Taschenbuch
Etat : Neu