Optimal Design and Related Areas in Optimization and Statistics

Edited by Luc Pronzato () and Anatoly Zhigljavsky ()

in Springer Optimization and Its Applications from Springer, currently edited by Pardalos, Panos, Thai, My T. and Du, Ding-Zhu

Date: 2009
ISBN: 978-0-387-79936-0
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Chapters in this book:

Ch 1 W-Iterations and Ripples Therefrom

B. Torsney

Ch 2 Studying Convergence of Gradient Algorithms Via Optimal Experimental Design Theory

R. Haycroft, L. Pronzato, H. P. Wynn and A. Zhigljavsky

Ch 3 A Dynamical-System Analysis of the Optimum s-Gradient Algorithm

L. Pronzato, H.P. Wynn and A. Zhigljavsky

Ch 4 Bivariate Dependence Orderings for Unordered Categorical Variables

A. Giovagnoli, J. Marzialetti and H. P. Wynn

Ch 5 Methods in Algebraic Statistics for the Design of Experiments

G. Pistone, E. Riccomagno and M. P. Rogantin

Ch 6 The Geometry of Causal Probability Trees that are Algebraically Constrained

E. Riccomagno and J. Q. Smith

Ch 7 Bayes Nets of Time Series: Stochastic Realizations and Projections

P. E. Caines, R. Deardon and H. P. Wynn

Ch 8 Asymptotic Normality of Nonlinear Least Squares under Singular Experimental Designs

A. Pázman and L. Pronzato

Ch 9 Robust Estimators in Non-linear Regression Models with Long-Range Dependence

A. Ivanov and N. Leonenko

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DOI: 10.1007/978-0-387-79936-0

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