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'An Implementation for Regression Quantile Estimation.- Computational Methods for Time Series Analysis.- Forecasting PC-ARIMA Models for Functional Data.- KyPlot as a Tool for Graphical Data Analysis.- Mice and Elephants Visualization of Internet Traffic.- Relativity and Resolution for High Dimensional Information Visualization with Generalized Association Plots (GAP).- Supervised Learning from Microarray Data.- Teaching Statistics with Electronic Textbooks.- Trans-Dimensional Markov Chains and their Applications in Statistics.- A Bayesian Model for Compositional Data Analysis.- A Comparison of Marginal Likelihood Computation Methods.- A Hotelling Test Based on MCD.- A Resampling Approach to Cluster Validation.- A Self Documenting Programming Environment for Weighting.- A State Space Model for Non-Stationary Functional Data.- A Wildlife Simulation Package (WiSP).- Algorithmical and Computational Procedures for a Markov Model in Survival Analysis.- An Algorithm for the Construction of Experimental Designs with Fixed and Random Blocks.- An Algorithm to Estimate Time Varying Parameter SURE Models under Different Type of Restrictions.- Analyzing Data with Robust Multivariate Methods and Diagnostic Plots.- Application of "Aggregated Classifiers" in Survival Time Studies.- Application of Hopfield-like Neural Networks to Nonlinear Factorization.- Bagging Tree Classifiers for Glaucoma Diagnosis.- Bayesian Automatic Parameter Estimation of Threshold Autoregressive (TAR) Models using Markov Chain Monte Carlo (MCMC).- Bayesian Semiparametric Seemingly Unrelated Regression.- Blockmodeling Techniques for Web Mining.- Bootstrapping Threshold Autoregressive Models.- Canonical Variates for Recursive Partitioning in Data Mining.- CAnoVaⓒ: a Software for Causal Modeling.- Classification Based on the Support Vector Machine Regression Depth, and Discriminant Analysis.- Clockwise Bivariate Boxplots.- Combining Graphical Models and PCA for Statistical Process Control.- Comparing Two Partitions: Some Proposals and Experiments.- Comparison of Nested Simulated Annealing and Reactive Tabu Search for Efficient Experimental Designs with Correlated Data.- Computational Connections between Robust Multivariate Analysis and Clustering.- Computer Intensive Methods for Mixed-effects Models.- Construction of T-Optimum Designs for Multiresponse Dynamic Models.- Data Compression and Selection of Variables with Respect to Exact Inference.- Data Extraction from Dense 3-D Surface Models.- Detection of Locally Stationary Segments in Time Series.- Detection of Outliers in Multivariate Data: A Method Based on Clustering and Robust Estimators.- Development of a Framework for Analyzing Process Monitoring Data with Applications to Semiconductor Manufacturing Process.- Different Ways to See a Tree - KLIMT.- e-stat: A Web-based Learning Environment in Applied Statistics.- e-stat: Automatic Evaluation of Online Exercises.- e-stat: Basic Stochastic Finance at School Level.- e-stat: Development of a Scenario for Statistics in Chemical Engineering..- e-stat: Web-based Learning and Teaching of Statistics in Secondary Schools.- EMILeA-stat: Structural and Didactic Aspects of Teaching Statistics through an Internet-based Multi-medial Environment.- Evaluating the GPH Estimator via Bootstrap Technique.- Evolutionary Algorithms with Competing Heuristics in Computational Statistics.- Exact Nonparametric Inference in R.- Exploring the Structure of Regression Surfaces by using SiZer Map for Additive Models.- Fast and Robus Filtering of Time Series with Trends.- Functional Principal Component Modelling of the Intensity of a Doubly Stochastic Poisson Process.- Growing and Visualizing Prediction Paths Trees in Market Basket Analysis.- Improved Fitting of Constrained Multivariate Regression Models using Automatic Differentiation.- Imputation of Continuous Variables Missing at Random using the

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