Overview
- Devoted to applications of the optimal design theory in optimization and statistics
- Provides comprehensive surveys written by leading generalists
- Each chapter reviews, analyzes, and extends the statistical literature with rigor and clarity
- Establishes links between optimization and various areas in experimental design and statistics, including optimal experimental design, majorization and stochastic ordering, algebraic statistics, Bayesian networks, and nonlinear regression
- Uncovers new applications of optimization to experimental design and statistics
- Develops new optimization techniques based on ideas from experimental design and statistics
- Acknowledges the work and influence of statistics scholar Henry P. Wynn
Part of the book series: Springer Optimization and Its Applications (SOIA, volume 28)
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Table of contents (9 chapters)
Keywords
About this book
Editors and Affiliations
Bibliographic Information
Book Title: Optimal Design and Related Areas in Optimization and Statistics
Editors: Luc Pronzato, Anatoly Zhigljavsky
Series Title: Springer Optimization and Its Applications
DOI: https://doi.org/10.1007/978-0-387-79936-0
Publisher: Springer New York, NY
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer-Verlag New York 2009
Hardcover ISBN: 978-0-387-79935-3Published: 02 December 2008
Softcover ISBN: 978-1-4419-2732-3Published: 08 September 2011
eBook ISBN: 978-0-387-79936-0Published: 25 July 2010
Series ISSN: 1931-6828
Series E-ISSN: 1931-6836
Edition Number: 1
Number of Pages: XV, 224
Number of Illustrations: 23 b/w illustrations
Topics: Optimization, Probability Theory and Stochastic Processes, Operations Research, Management Science, Statistics, general, Algorithm Analysis and Problem Complexity, Algorithms