Optimal Design and Related Areas in Optimization and Statistics by Luc PronzatoOptimal Design and Related Areas in Optimization and Statistics by Luc Pronzato

Optimal Design and Related Areas in Optimization and Statistics

EditorLuc Pronzato

Hardcover | December 2, 2008

Pricing and Purchase Info

$160.41 online 
$219.95 list price save 27%
Earn 802 plum® points

Prices and offers may vary in store


In stock online

Ships free on orders over $25

Not available in stores


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.
Title:Optimal Design and Related Areas in Optimization and StatisticsFormat:HardcoverDimensions:239 pages, 9.25 × 6.1 × 0.1 inPublished:December 2, 2008Publisher:Springer New YorkLanguage:English

The following ISBNs are associated with this title:

ISBN - 10:0387799354

ISBN - 13:9780387799353


Table of Contents

Preface.- B. Torsney: W-iterations and Ripples Therefrom.- R. Haycroft, L. Pronzato, H.P. Wynn, A. Zhigljavsky: Studying Convergence of Gradient Algorithms via Optimal Experimental Design Theory.- L. Pronzato, H.P. Wynn, A. Zhigljavsky: A Dynamical-System Analysis of the Optimum S-Gradient Algorithm.- A. Giovagnoli, J. Marzialetti, H.P. Wynn: Bivariate Dependence Orderings for Unordered Categorical Variables.- G. Pistone, E. Riccomagno, M.P. Rogantin: Methods in Algebraic Statistics for the Design of Experiments.- E. Riccomagno, J.Q. Smith:The Geometry of Causal Probability Trees that are Algebraically Constrained.- P.E. Caines, R. Deardon, H.P. Wynn: Bayes Nets of Time Series: Stochastic Realisations and Projections.- A. Pazman, L. Pronzato: Asymptotic Normality of Nonlinear Least Squares under Singular Experimental Designs.- A. Ivanov, N. Leonenko: Robust Estimators in Nonlinear Regression Models with Long-Range Dependence.- Index.