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Springer Optimization and Its Applications

Optimal Design and Related Areas in Optimization and Statistics

Editors: Pronzato, Luc, Zhigljavsky, Anatoly (Eds.)

  • 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
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eBook $119.00
price for USA (gross)
  • ISBN 978-0-387-79936-0
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $159.00
price for USA
  • ISBN 978-0-387-79935-3
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $159.00
price for USA
  • ISBN 978-1-4419-2732-3
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
About this book

This edited volume, dedicated to Henry P. Wynn, reflects his broad range of research interests, focusing in particular on the applications of optimal design theory in optimization and statistics. It covers algorithms for constructing optimal experimental designs, general gradient-type algorithms for convex optimization, majorization and stochastic ordering, algebraic statistics, Bayesian networks and nonlinear regression. Written by leading specialists in the field, each chapter contains a survey of the existing literature along with substantial new material.

 

This work will appeal to both the specialist and the non-expert in the areas covered. By attracting the attention of experts in optimization to important interconnected areas, it should help stimulate further research with a potential impact on applications.

Table of contents (9 chapters)

  • W-Iterations and Ripples Therefrom

    Torsney, B.

    Pages 1-12

  • Studying Convergence of Gradient Algorithms Via Optimal Experimental Design Theory

    Haycroft, R. (et al.)

    Pages 13-37

  • A Dynamical-System Analysis of the Optimum s-Gradient Algorithm

    Pronzato, L. (et al.)

    Pages 39-80

  • Bivariate Dependence Orderings for Unordered Categorical Variables

    Giovagnoli, A. (et al.)

    Pages 81-96

  • Methods in Algebraic Statistics for the Design of Experiments

    Pistone, G. (et al.)

    Pages 97-132

Buy this book

eBook $119.00
price for USA (gross)
  • ISBN 978-0-387-79936-0
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $159.00
price for USA
  • ISBN 978-0-387-79935-3
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $159.00
price for USA
  • ISBN 978-1-4419-2732-3
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

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
Series Volume
28
Copyright
2009
Publisher
Springer-Verlag New York
Copyright Holder
The Editor(s) (if applicable) and The Author(s) 2018
eBook ISBN
978-0-387-79936-0
DOI
10.1007/978-0-387-79936-0
Hardcover ISBN
978-0-387-79935-3
Softcover ISBN
978-1-4419-2732-3
Series ISSN
1931-6828
Edition Number
1
Number of Pages
XV, 224
Number of Illustrations and Tables
23 b/w illustrations
Topics