| Preface | |
| An Implementation for Regression Quantile Estimation | p. 3 |
| Computational Methods for Time Series Analysis | p. 15 |
| Forecasting PC-ARIMA Models for Functional Data | p. 25 |
| KyPlot as a Tool for Graphical Data Analysis | p. 37 |
| Mice and Elephants Visualization of Internet Traffic | p. 47 |
| Relativity and Resolution for High Dimensional Information Visualization with Generalized Association Plots (GAP) | p. 55 |
| Supervised Learning from Microarray Data | p. 67 |
| Teaching Statistics with Electronic Textbooks | p. 79 |
| Trans-Dimensional Markov Chains and their Applications in Statistics | p. 91 |
| A Bayesian Model for Compositional Data Analysis | p. 105 |
| A Comparison of Marginal Likelihood Computation Methods | p. 111 |
| A Hotelling Test Based on MCD | p. 117 |
| A Resampling Approach to Cluster Validation | p. 123 |
| A Self Documenting Programming Environment for Weighting | p. 129 |
| A State Space Model for Non-Stationary Functional Data | p. 135 |
| A Wildlife Simulation Package (WiSP) | p. 141 |
| Algorithmical and Computational Procedures for a Markov Model in Survival Analysis | p. 147 |
| An Algorithm for the Construction of Experimental Designs with Fixed and Random Blocks | p. 153 |
| An Algorithm to Estimate Time Varying Parameter SURE Models under Different Type of Restrictions | p. 159 |
| Analyzing Data with Robust Multivariate Methods and Diagnostic Plots | p. 165 |
| Application of "Aggregated Classifiers" in Survival Time Studies | p. 171 |
| Application of Hopfield-like Neural Networks to Nonlinear Factorization | p. 177 |
| Bagging Tree Classifiers for Glaucoma Diagnosis | p. 183 |
| Bayesian Automatic Parameter Estimation of Threshold Autoregressive (TAR) Models using Markov Chain Monte Carlo (MCMC) | p. 189 |
| Bayesian Semiparametric Seemingly Unrelated Regression | p. 195 |
| Blockmodeling Techniques for Web Mining | p. 201 |
| Bootstrapping Threshold Autoregressive Models | p. 207 |
| Canonical Variates for Recursive Partitioning in Data Mining | p. 213 |
| CAnoVa: a Software for Causal Modeling | p. 219 |
| Classification Based on the Support Vector Machine, Regression Depth, and Discriminant Analysis | p. 225 |
| Clockwise Bivariate Boxplots | p. 231 |
| Combining Graphical Models and PCA for Statistical Process Control | p. 237 |
| Comparing Two Partitions: Some Proposals and Experiments | p. 243 |
| Comparison of Nested Simulated Annealing and Reactive Tabu Search for Efficient Experimental Designs with Correlated Data | p. 249 |
| Computational Connections between Robust Multivariate Analysis and Clustering | p. 255 |
| Computer Intensive Methods for Mixed-effects Models | p. 261 |
| Construction of T-Optimum Designs for Multiresponse Dynamic Models | p. 267 |
| Data Compression and Selection of Variables, with Respect to Exact Inference | p. 273 |
| Data Extraction from Dense 3-D Surface Models | p. 279 |
| Detection of Locally Stationary Segments in Time Series | p. 285 |
| Detection of Outliers in Multivariate Data: A Method Based on Clustering and Robust Estimators | p. 291 |
| Development of a Framework for Analyzing Process Monitoring Data with Applications to Semiconductor Manufacturing Process | p. 297 |
| Different Ways to See a Tree - KLIMT | p. 303 |
| e-stat: A Web-based Learning Environment in Applied Statistics | p. 309 |
| e-stat: Automatic Evaluation of Online Exercises | p. 315 |
| e-stat: Basic Stochastic Finance at School Level | p. 321 |
| e-stat: Development of a Scenario for Statistics in Chemical Engineering | p. 327 |
| e-stat: Web-based Learning and Teaching of Statistics in Secondary Schools | p. 333 |
| EMILeA-stat: Structural and Didactic Aspects of Teaching Statistics through an Internet-based, Multi-medial Environment | p. 339 |
| Evaluating the GPH Estimator via Bootstrap Technique | p. 343 |
| Evolutionary Algorithms with Competing Heuristics in Computational Statistics | p. 349 |
| Exact Nonparametric Inference in R | p. 355 |
| Exploring the Structure of Regression Surfaces by using SiZer Map for Additive Models | p. 361 |
| Fast and Robus Filtering of Time Series with Trends | p. 367 |
| Functional Principal Component Modelling of the Intensity of a Doubly Stochastic Poisson Process | p. 373 |
| Growing and Visualizing Prediction Paths Trees in Market Basket Analysis | p. 377 |
| Improved Fitting of Constrained Multivariate Regression Models using Automatic Differentiation | p. 383 |
| Imputation of Continuous Variables Missing at Random using the Method of Simulated Scores | p. 389 |
| Induction of Association Rules: Apriori Implementation | p. 395 |
| Intelligent WBT: Specification and Architecture of the Distributed Multimedia e-Learning System e-stat | p. 401 |
| Interactive Exploratory Analysis of Spatio-Temporal Data | p. 407 |
| Interactive Graphics for Data Mining | p. 413 |
| Least Squares Reconstruction of Binary Images using Eigenvalue Optimization | p. 419 |
| Locally Adaptive Function Estimation for Categorical Regression Models | p. 425 |
| Maneuvering Target Tracking by using Particle Filter Method with Model Switching Structure | p. 431 |
| mathStatica: Mathematical Statistics with Mathematica | p. 437 |
| MCMC Model for Estimation Poverty Risk Factors using Household Budget Data | p. 443 |
| MD Book online & e-stat: Generating e-stat Modules from LaTeX | p. 449 |
| Missing Data Incremental Imputation through Tree Based Methods | p. 455 |
| Missing Values Resampling for Time Series | p. 461 |
| ModelBuilder - an Automated General-to-specific Modelling Tool | p. 467 |
| On the Use of Particle Filters for Bayesian Image Restoration | p. 473 |
| Optimally Trained Regression Trees and Occam's Razor | p. 479 |
| Parallel Algorithms for Inference in Spatial Gaussian Models | p. 485 |
| Parameters Estimation of Block Mixture Models | p. 491 |
| Pattern Recognition of Time Series using Wavelets | p. 497 |
| Representing Knowledge in the Statistical System Jasp | p. 503 |
| Robust Estimation with Discrete Explanatory Variables | p. 509 |
| Robust Principal Components Regression | p. 515 |
| Robust Time Series Analysis through the Forward Search | p. 521 |
| Rough Sets and Association Rules - Which is Efficient? | p. 527 |
| Skewness and Fat Tails in Discrete Choice Models | p. 533 |
| Standardized Partition Spaces | p. 539 |
| StatDataML: An XML Format for Statistical Data | p. 545 |
| Statistical Computing on Web Browsers with the Dynamic Link Library | p. 551 |
| Statistical Inference for a Robust Measure of Multiple Correlation | p. 557 |
| Statistical Software VASMM for Variable Selection in Multivariate Methods | p. 563 |
| Structural Equation Models for Finite Mixtures - Simulation Results and Empirical Applications | p. 569 |
| Sweave: Dynamic Generation of Statistical Reports using Literate Data Analysis | p. 575 |
| Testing for Simplification in Spatial Models | p. 581 |
| The Forward Search | p. 587 |
| The MISSION Client: Navigating Ontology Information for Query Formulation and Publication in Distributed Statistical Information Systems | p. 593 |
| Time Series Modelling using Mobile Devices and Broadband Internet | p. 599 |
| Unbiased Partial Spline Fitting under Autoregressive Errors | p. 605 |
| Unobserved Heterogeneity in Store Choice Models | p. 611 |
| Using the Forward Library in S-plus | p. 617 |
| Variance Stabilization and Robust Normalization for Microarray Gene Expression Data | p. 623 |
| Weights and Fragments | p. 629 |
| XQS/MD Crypt as a Means of Education and Computation | p. 635 |
| Author's Index | p. 641 |
| Keyword Index | p. 645 |
| Table of Contents provided by Blackwell. All Rights Reserved. |
