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Statistical Modeling and Analysis for Complex Data Problems Book

Statistical Modeling and Analysis for Complex Data Problems
Statistical Modeling and Analysis for Complex Data Problems, , Statistical Modeling and Analysis for Complex Data Problems has a rating of 3.5 stars
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Statistical Modeling and Analysis for Complex Data Problems, , Statistical Modeling and Analysis for Complex Data Problems
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  • Statistical Modeling and Analysis for Complex Data Problems
  • Written by author Pierre Duchesne
  • Published by Springer-Verlag New York, LLC, May 2005
  • 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-Univ
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1Dependence properties of meta-elliptical distributions1
2The statistical significance of Palm Beach County17
3Bayesian functional estimation of hazard rates for randomly right censored data using Fourier series methods41
4Conditions for the validity of F-ratio tests for treatment and carryover effects in crossover designs59
5Bias in estimating the variance of K-fold cross-validation75
6Effective construction of modified histograms in higher dimensions97
7On robust diagnostics at individual lags using RA-ARX estimators121
8Bootstrap confidence intervals for periodic preventive replacement policies141
9Statistics for comparison of two independent cDNA filter microarrays161
10Large deviations for interacting processes in the strong topology179
11Asymptotic distribution of a simple linear estimator for VARMA models in echelon form209
12Recent results for linear time series models with non independent innovations241
13Filtering of images for detecting multiple targets trajectories267
14Optimal detection of periodicities in vector autoregressive models281
15The Wilcoxon signed-rank test for cluster correlated data309


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