Optimal Design and Related Areas in Optimization and Statistics

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...

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Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Pronzato, Luc. (Editor), Zhigljavsky, Anatoly. (Editor)
Format: Electronic
Language:English
Published: New York, NY : Springer New York, 2009.
Series:Springer Optimization and Its Applications, 28
Subjects:
Online Access:https://ezaccess.library.uitm.edu.my/login?url=http://dx.doi.org/10.1007/978-0-387-79936-0
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.