| The broad role of multiple imputation in statistical science | p. 3 |
| Official Statistics: an estimation strategy for the IT-era | p. 15 |
| Bayesian model selection methods for nonnested models | p. 29 |
| Spatio-temporal hierarchical modeling of an infectious disease from (simulated) count data | p. 41 |
| GBMs: GLMs with bilinear terms | p. 53 |
| Generalized calibration and application to weighting for non-response | p. 65 |
| Methodological issues in data mining | p. 77 |
| Practical data mining in a large utility company | p. 87 |
| HGLMs for analysis of correlated non-normal data | p. 97 |
| Bootstrapping impulse responses in VAR analyses | p. 109 |
| An application of TRAMO-SEATS; model selection and out-of-sample performance. The Swiss CPI series | p. 121 |
| Spreadsheets as tools for statistical computing and statistics education | p. 131 |
| An algorithm for deepest multiple regression | p. 139 |
| Non-proportional hazards models in survival analysis | p. 151 |
| A spatio-temporal analysis of a field trial | p. 161 |
| Principal component logistic regression | p. 175 |
| Sieve bootstrap prediction intervals | p. 181 |
| Clustering by maximizing a fuzzy classification maximum likelihood criterion | p. 187 |
| Tree-based algorithms for missing data imputation | p. 193 |
| MiPy: a system for generating multiple imputations | p. 199 |
| A linear approximation to the wild bootstrap in specification testing | p. 205 |
| The size of the largest nonidentifiable outlier as a performance criterion for multivariate outlier identification: the case of high-dimensional data | p. 211 |
| The influence of data generation and imputation methods on the bias of factor analysis of rating scale data | p. 217 |
| Model on a population and prediction on another one: a generalized discriminant rule | p. 223 |
| Disclosure control on multi-way tables by means of the shuttle algorithm: extensions and experiments | p. 229 |
| An MLE strategy for combining optimally pruned decision trees | p. 235 |
| Semi-parametric models for data mining | p. 241 |
| Preliminary estimation of ARFIMA models | p. 247 |
| A collection of applets for visualizing statistical concepts | p. 253 |
| Non-parametric regression and density estimation under control of modality | p. 259 |
| Multivariate approaches for aggregate time series | p. 265 |
| Some space-time models: an application to NO[subscript 2] pollution in an urban area | p. 271 |
| SLICE: generalised software for statistical data editing and imputation | p. 277 |
| Improved PCB inspection: computational issues | p. 283 |
| Optimization of the antithetic Gibbs sampler for Gaussian Markov random fields | p. 289 |
| Computing zonoid trimmed regions of bivariate data sets | p. 295 |
| Outlier resistant estimators for canonical correlation analysis | p. 301 |
| Graphical and phase space models for univariate time series | p. 307 |
| The use of the Tweedie distribution in statistical modelling | p. 313 |
| Predictive dimension: an alternative definition to embedding dimension | p. 319 |
| Post-stratification to correct for nonresponse: classification of ZIP code areas | p. 325 |
| Approximate Bayesian inference for simple mixtures | p. 331 |
| Correlated INAR(1) process | p. 337 |
| Confidence regions for stabilized multivariate tests | p. 343 |
| Comparison of stationary time series using distribution-free methods | p. 349 |
| Generation of Boolean classification rules | p. 355 |
| A statistical package based on Pnuts | p. 361 |
| Generalized regression trees | p. 367 |
| Generalized linear mixed models: an improved estimating procedure | p. 373 |
| The stochastic dimension in a dynamic GIS | p. 379 |
| A robust version of principal factor analysis | p. 385 |
| TESS: system for automatic seasonal adjustment and forecasting of time series | p. 391 |
| The BADAME project | p. 397 |
| Improving Statistics Canada's cell suppression software (CONFID) | p. 403 |
| The multimedia project MM STAT for teaching statistics | p. 409 |
| Projection pursuit approach to robust canonical correlation analysis | p. 415 |
| A fast algorithm for highly robust regression in data mining | p. 421 |
| Optimal classification trees | p. 427 |
| GAM spline algorithms: a direct comparison | p. 433 |
| Markov Chain Monte Carlo methods for handling missing covariates in longitudinal mixed models | p. 439 |
| Robust Bayesian classification | p. 445 |
| Social science measurement by means of item response models | p. 451 |
| Multivariate DLMs for forecasting financial time series, with application to the management of portfolios | p. 457 |
| An algorithm for the multivariate Tukey median | p. 463 |
| Analyzing and synthesizing information from a multiple-study database | p. 469 |
| Bootstrapping neural discriminant model | p. 475 |
| An improved algorithm for robust PCA | p. 481 |
| Applying techniques of dynamic programming to sequential mastery testing | p. 487 |
| The introduction of formal structure into the processing of statistical summary data | p. 493 |
| Validation of association rules by interactive mosaic plots | p. 499 |
| Optimality models for PRAM | p. 505 |
| Dealing with real ordinal data: recent advances in analyzing tied, censored, and multivariate observations | p. 511 |
| Testing for differences in location: a comparison of bootstrap methods in the small sample case | p. 517 |
| Two principal points for location mixtures | p. 523 |
| Vector splines and other vector smoothers | p. 529 |
| Index of authors | p. 535 |
| Index of keywords | p. 537 |
| Table of Contents provided by Blackwell. All Rights Reserved. |
