| Scientific Statistics, Teaching, Learning and the Computer | p. 3 |
| Trends in the Information Technologies Markets - The Future | p. 11 |
| Robust Procedures for Regression Models with ARIMA Errors | p. 27 |
| Functional Imaging Analysis Software-Computational Olio | p. 39 |
| Automatic Modelling of Daily Series of Economic Activity | p. 51 |
| New Methods for Quantitative Analysis of Short-Term Economic Activity | p. 65 |
| Classification and Computers: Shifting the Focus | p. 77 |
| Image Processing, Markov Chain Approach | p. 89 |
| A Study of E-optimal Designs for Polynomial Regression | p. 101 |
| From Fourier to Wavelet Analysis of Time Series | p. 111 |
| Profile Methods | p. 123 |
| A New Generation of a Statistical Computing Environment on the Net | p. 135 |
| On Multidimensional Nonparametric Regression | p. 149 |
| Parallel Model Selection in Logistic Regression Analysis | p. 163 |
| On a Weighted Principal Component Model to Forecast a Continuous Time Series | p. 169 |
| Exact Iterative Computation of the Multivariate Minimum Volume Ellipsoid Estimator with a Branch and Bound Algorithm | p. 175 |
| Automatic Segmentation by Decision Trees | p. 181 |
| Karhunen-Loeve and Wavelet Approximations to the Inverse Problem | p. 187 |
| Bootstrapping Uncertainty in Image Analysis | p. 193 |
| BASS: Bayesian Analyzer of Event Sequences | p. 199 |
| Assessing Sample Variability in the Visualization Techniques Related to Principal Component Analysis: Bootstrap and Alternative Simulation Methods | p. 205 |
| A Fast Algorithm for Robust Principal Components Based on Projection Pursuit | p. 211 |
| Hybrid System: Neural Networks and Genetic Algorithms Applied in Nonlinear Regression and Time Series Forecasting | p. 217 |
| Do Parametric Yield Estimates Beat Monte Carlo? | p. 223 |
| Testing Convexity | p. 229 |
| Zonoid Data Depth: Theory and Computation | p. 235 |
| PADOX, A Personal Assistant for Experimental Design | p. 241 |
| Computing M-estimates | p. 247 |
| Survival Analysis with Measurement Error on Covariates | p. 253 |
| Partial Imputation Method in the EM Algorithm | p. 259 |
| On the Uses and Costs of Rule-Based Classification | p. 265 |
| Small Sequential Designs that Stay Close to a Target | p. 271 |
| Statistical Classification Methods for Protein Fold Class Prediction | p. 277 |
| Restoration of Blurred Images when Blur is Incompletely Specified | p. 283 |
| Loglinear Random Effect Models for Capture-Recapture Assessment of Completeness of Registration | p. 289 |
| Estimation of First Contact Distribution Functions for Spatial Patterns in S-PLUS | p. 295 |
| Barcharts and Class Characterization with Taxonomic Qualitative Variables | p. 301 |
| Prediction of Failure Events when No Failures have Occurred | p. 307 |
| Generalising Regression and Discriminant Analysis: Catastrophe Models for Plasma Confinement and Threshold Data | p. 313 |
| Parallel Strategies for Estimating the Parameters of a Modified Regression Model on a SIMD Array Processor | p. 319 |
| Stochastic Algorithms in Estimating Regression Models | p. 325 |
| Generalized Nonlinear Models | p. 331 |
| The Use of Statistical Methods for Operational and Strategic Forecasting in European Industry | p. 337 |
| Bayesian Analysis for Likelihood-Based Nonparametric Regression | p. 343 |
| Calculating the Exact Characteristics of Truncated Sequential Probability Ratio Tests Using Mathematica | p. 349 |
| How to Find Suitable Parametric Models Using Genetic Algorithms. Application to Feedforward Neural Networks | p. 355 |
| Some Computational Aspects of Exact Maximum Likelihood Estimation of Time Series Models | p. 361 |
| Estimation After Model Building: A First Step | p. 367 |
| Logistic Classification Trees | p. 373 |
| Computing High Breakdown Point Estimators for Planned Experiments and for Models with Qualitative Factors | p. 379 |
| Posterior Simulation for Feed Forward Neural Network Models | p. 385 |
| Bivariate Survival Data Under Censoring: Simulation Procedure for Group Sequential Boundaries | p. 391 |
| The Wavelet Transform in Multivariate Data Analysis | p. 397 |
| "Replication-free" Optimal Designs in Regression Analysis | p. 403 |
| STEPS Towards Statistics | p. 411 |
| File Grafting: a Data Sets Communication Tool | p. 417 |
| Projections on Convex Cones with Applications in Statistics | p. 423 |
| Partial Correlation Coefficient Comparison in Graphical Gaussian Models | p. 429 |
| The Robustness of Cross-over Designs to Error Mis-specification | p. 435 |
| ISODEPTH: a Program for Depth Contours | p. 441 |
| Non Parametric Control Charts for Sequential Process | p. 447 |
| An Iterative Projection Algorithm and Some Simulation Results | p. 453 |
| Computational Asymptotics | p. 459 |
| An Algorithm for Detecting the Number of Knots in Non Linear Principal Component Analysis | p. 465 |
| Generation and Investigation of Multivariate Distributions Having Fixed Discrete Marginals | p. 471 |
| A Simulation Framework for Re-estimation of Parameters in a Population Model for Application to a Particular Locality | p. 477 |
| A Semi-Fuzzy Partition Algorithm | p. 483 |
| Estimation in Two - Sample Nonproportional Hazards Models in Clinical Trials by an Algorithmic Method | p. 489 |
| How to Obtain Efficient Exact Designs from Optimal Approximate Designs | p. 495 |
| Papers Classified by Topics | p. 501 |
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