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 sta...
Gespeichert in:
| Weitere Verfasser: | , |
|---|---|
| Format: | Livre numérique |
| Sprache: | Anglais |
| Veröffentlicht: |
Boston, MA :
Springer US : Springer e-books
[20..].
Cham : Springer Nature |
| Online Zugang: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Anmerkung: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Statistical modeling and analysis for complex data problems, edited by Pierre Duchesne, Bruno Rémillard, New York, Springer Science+Business Media, 2005, 1 vol. (XIV-323 p.), GERAD 25th anniversary series, 0-387-24554-5 |
Inhaltsangabe:
- 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 Echelon Form Recent Results for Linear Time Series Models with Non Independent Innovations Filtering of Images for Detecting Multiple Targets Trajectories Optimal Detection of Periodicities in Vector Autoregressive Models The Wilcoxon Signed-Rank Test for Cluster Correlated Data