Optimal design and related areas in optimization and statistics
[Book]
edited by Luc Pronzato, Anatoly Zhigljavsky
London :
Springer,
c2009
1 online resource (xv, 224 p.) :
ill
Springer optimization and its applications ;
vol. 28
Includes bibliographical references and index
1. W-Iterations and Ripples Therefrom; 2. Studying Convergence of Gradient Algorithms Via Optimal Experimental Design Theory; 3. A Dynamical-System Analysis of the Optimum s-Gradient Algorithm; 4. Bivariate Dependence Orderings for Unordered Categorical Variables; 5. Methods in Algebraic Statistics for the Design of Experiments; 6. The Geometry of Causal Probability Trees that are Algebraically Constrained; 7. Bayes Nets of time Series: Stochastic Realizations and Projections; 8. Asymptotic Normality of Nonlinear Leasy Squares under Singular Experimental Designs
0
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
Optimal design and related areas in optimization and statistics.
0387799354
SpringerLink
Mathematical optimization
Optimal designs (Statistics)
QA279
.
O667
2009
Pronzato, Luc,1959-
Zhigli︠a︡vskiĭ, A. A., (Anatoliĭ Aleksandrovich)