Statistical Modeling and Analysis for Complex Data Problems
(Sprache: Englisch)
Statistical Modeling and Analysis for Complex Data Problems treats some of today's more complex problems and it reflects some of the important research directions in the field. Twenty-nine authors - largely from Montreal's GERAD...
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Klappentext zu „Statistical Modeling and Analysis for Complex Data Problems “
Statistical Modeling and Analysis for Complex Data Problems treats some of today's more complex problems and it reflects some of the important research directions in the field. Twenty-nine authors - largely from Montreal's GERAD Multi-University Research Center and who work in areas of theoretical statistics, applied statistics, probability theory, and stochastic processes - present survey chapters on various theoretical and applied problems of importance and interest to researchers and students across a number of academic domains.
This book reviews some of today's more complex problems, and reflects some of the important research directions in the field. Twenty-nine authors - largely from Montreal's GERAD Multi-University Research Center and who work in areas of theoretical statistics, applied statistics, probability theory, and stochastic processes - present survey chapters on various theoretical and applied problems of importance and interest to researchers and students across a number of academic domains.
Inhaltsverzeichnis zu „Statistical Modeling and Analysis for Complex Data Problems “
- Foreword.- Contributing Authors.
- Preface.
- Dependence Properties of Meta-Elliptical Distributions.
- The Statistical Significance of Palm Beach County.
- Bayesian Functional Estimation of Hazard Rates for Randomly Right Censored Data Using Fourier Series Methods.
- Conditions for the Validity of F-Ratio Tests for Treatment and Carryover Effects in Crossover Designs.
- Bias in Estimating the Variance of K-Fold Cross Validation.
- Effective Construction of Modified Histograms in Higher Dimensions.
- On Robust Diagnostics at Individual Lags Using RA-ARX Estimators.
- Bootstrap Confidence Intervals for Periodic Preventive Replacement Policies.
- Statistics for Comparison of Two Independent cDNA Filter Microarrays.
- Large Deviations for Interacting Processes in the Strong Topology.
- Asymptotic Distribution of a Simple Linear Estimator for VARMA Models in Echolon Form.
- Recent Results for Linear Time Series Models with Non Independent Innovations.
- Filtering of Images for Detecting Multiple Targets Trajectories.
- Optimzal Detection of Periodicities in Vector Autoregressive Models.
- The Wilcoxon Signed-Rank Test for Cluster Correlated Data.
Bibliographische Angaben
- 2010, Softcover reprint of hardcover 1st ed. 2005, XIV, 324 Seiten, Maße: 15,5 x 23,5 cm, Kartoniert (TB), Englisch
- Herausgegeben: Pierre Duchesne, Bruno Rémillard
- Verlag: Springer, Berlin
- ISBN-10: 144193751X
- ISBN-13: 9781441937513
Sprache:
Englisch
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