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Can I read Process Optimization: A Statistical Approach (International Series in Operations Research & Management Science Book 105) on EtoBox?
Process Optimization: A Statistical Approach (International Series in Operations Research & Management Science Book 105) by Professor Enrique Del Castillo (auth.) is a nonfiction available to read on EtoBox.
What is Process Optimization: A Statistical Approach (International Series in Operations Research & Management Science Book 105) about?
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),
Who reads Process Optimization: A Statistical Approach (International Series in Operations Research & Management Science Book 105)?
It is typically read by self-directed learners exploring a subject in depth.
Common subject areas: history, science, philosophy, social sciences.
- Author
- Professor Enrique Del Castillo (auth.)
- Publisher
- Springer US
- Published
- 2007
- Language
- EN
- ISBN
- 9780387714349
- Category
- nonfiction
- Subjects
- Engineering, Mathematics, Science
Other editions & translations
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