The book provides new developments in data analysis and statistical multivariate methods, computational statistics and algorithms, including new topics which are of central interest to modern statistics. The reader will find advanced methodologies and computational methods which are very helpful to analyze real phenomena characterized by large data bases. Furthermore, the volume includes papers devoted to original and innovative applications of recent statistical theory and complex approaches of statistical data analysis.

Table of Contents

Part I: Classification and Clustering.- Part II: Image Analysis and Signal Processing.- Part III: Data Visualization.- Part IV: Multivariate Analysis.- Part V: Web Based Teaching.- Part VI: Algorithms.- Part VII: Robustness.- Part on CD: Part VIII: Categorical Data Analysis.- Part IX: Multivariate Data Analysis II.- Part X: Classification and Clustering II.- Part XI: Data Mining.- Part XII: Biostatistics.- Part XIII: Resampling Methods.- Part XIV Functional Data Analysis.- Part XV: Time Series Analysis and Spatial Analysis.- Part XVI: Nonparametric Statistics and Smoothing.- Part XVII: Statistical Software and Optimization Algorithms.- Part XVIII: Computational Bayesian Methods.- Part XIX: Computational Methods in Offical Statistics.- Part XX: Computational Statistics in Finance, Industry and Economics.- Part XXI: Microarray Data Analysis.- Part XXII: Statistical Education and Web Based Teaching.- Part XXIII: Posters.