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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Process Optimization: A Statistical Approach

Process Optimization: A Statistical Approach

del Castillo, Enrique

Hardcover

Series: International Operations Research & Management Science, Book 105

Technology & EngineeringGeneral Mathematics

ISBN10: 0387714340
ISBN13: 9780387714349
Publisher: Springer Nature
Published: Aug 6 2007
Pages: 462
Weight: 1.76
Height: 1.09 Width: 6.51 Depth: 9.38
Language: English

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.

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