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Statistical Modeling and Analysis for Complex Data Problems

Edited by Pierre Duchesne and Bruno RÉMillard

in Springer Books from Springer

Date: 2005
ISBN: 978-0-387-24555-3
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Chapters in this book:

Ch Chapter 1 Dependence Properties of Meta-Elliptical Distributions
Belkacem Abdous, Christian Genest and Bruno Rémillard
Ch Chapter 10 Large Deviations for Interacting Processes in the Strong Topology
Donald A. Dawson and Pierre Del Moral
Ch Chapter 11 Asymptotic Distribution of a Simple Linear Estimator for Varma Models in Echelon Form
Jean-Marie Dufour and Tarek Jouini
Ch Chapter 12 Recent Results for Linear Time Series Models with Non Independent Innovations
Christian Francq and Jean-Michel Zakoïan
Ch Chapter 13 Filtering of Images for Detecting Multiple Targets Trajectories
Ivan Gentil, Bruno Rémillard and Pierre Del Moral
Ch Chapter 14 Optimal Detection of Periodicities in Vector Autoregressive Models
Marc Hallin and Soumia Lotfi
Ch Chapter 15 The Wilcoxon Signed-Rank Test for Cluster Correlated Data
Denis Larocque
Ch Chapter 2 The Statistical Significance of Palm Beach County
David Andrews and Andrey Feuerverger
Ch Chapter 3 Bayesian Functional Estimation of Hazard Rates for Randomly Right Censored Data Using Fourier Series Methods
Jean-François Angers and Brenda MacGibbon
Ch Chapter 4 Conditions for the Validity of F-Ratio Tests for Treatment and Carryover Effects in Crossover Designs
François Bellavance and Serge Tardif
Ch Chapter 5 Bias in Estimating the Variance of K-Fold Cross-Validation
Yoshua Bengio and Yves Grandvalet
Ch Chapter 6 Effective Construction of Modified Histograms in Higher Dimensions
Alain Berlinet and Laurent Rouvière
Ch Chapter 7 On Robust Diagnostics at Individual Lags Using RA-ARX Estimators
Imad Bou-Hamad and Pierre Duchesne
Ch Chapter 8 Bootstrap Confidence Intervals for Periodic Preventive Replacement Policies
Pascal Croteau, Robert Cléroux and Christian Léger
Ch Chapter 9 Statistics for Comparison of Two Independent cDNA Filter Microarrays
André Dabrowski

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DOI: 10.1007/b105993

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