Advances in Data Analysis

Preface.- List of Contributors.- List of Tables.- List of Figures.- Part I. Data Mining and Text Mining.- Assessing the Stability of Supplementary Elements on Principal Axes Maps Through Bootstrap Resampling. Contribution to Interpretation in Textual Analysis.- A Doubly Projected Analysis for Lexical Tables.- Analysis of a Mixture of Closed and Open-Ended Questions in the Case of a Multilingual Survey.- Number of Frequent Patterns in Random Databases.- Part II. Information Theory and Statistical Applications.- Introduction.- Measures of Divergence in Model Selection.- High Leverage Points and Outliers in Generalized Linear Models for Ordinal Data.- On a Minimization Problem Involving Divergences and Its Applications.- Part III. Asymptotic Behaviour of Stochastic Processes and Random Fields.- Remarks on Stochastic Models Under Consideration.- New Invariance Principles for Critical Branching Process in Random Environment.- Gaussian Approximation for Multichannel Queueing Systems.- Stochastic Insurance Models, Their Optimality and Stability.- Central Limit Theorem for Random Fields and Applications.- A Berry--Esseen Type Estimate for Dependent Systems on Transitive Graphs.- Critical and Subcritical Branching Symmetric Random Walks on d-Dimensional Lattices.- Part IV. Bioinformatics and Markov Chains.- Finite Markov Chain Embedding for the Exact Distribution of Patterns in a Set of Random Sequences.- On the Convergence of the Discrete-Time Homogeneous Markov Chain.- Part V. Life Table Data, Survival Analysis, and Risk in Household Insurance.- Comparing the Gompertz-Type Models with a First Passage Time Density Model.- A Comparison of Recent Procedures in Weibull Mixture Testing.- Hierarchical Bayesian Modelling of Geographic Dependence of Risk in Household Insurance.- Part VI. Neural Networks and Self-Organising Maps.- The FCN Framework: Development and Applications.- On the Use of Self-Organising Maps to Analyse Spectral Data.- Neuro-Fuzzy Versus Traditional Models for Forecasting Wind Energy Production.- Part VII. Parametric and Nonparametric Statistics.- Nonparametric Comparison of Several Sequential k-out-of-n Systems.- Adjusting p-Values when n Is Large in the Presence of Nuisance Parameters.- Part VIII. Statistical Theory and Methods.- Fitting Pareto II Distributions on Firm Size: Statistical Methodology and Economic Puzzles.- Application of Extreme Value Theory to Economic Capital Estimation.- Multiresponse Robust Engineering: Industrial Experiment Parameter Estimation.- Inference for Binomial Change Point Data.