Advances in Multivariate Data Analysis

The book presents a range of new developments in the theory and practice of multivariate statistical data analysis. Several contributions illustrate the use of multivariate methods in application fields such as economics, medicine, environment, and biology.

Contenu

Classification Methods with Applications.- The STP Procedure as Overfitting Avoidance Tool in Classification Trees.- A Modal Symbolic Pattern Classifier.- Proximity Measures Between Classification Trees.- Ordinal Classification Trees Based on Impurity Measures.- Time Series Analysis and Related Methods.- Space Time Noisy Observation Smoothing.- Spectral Analysis in Frequency and Time Domain for Noisy Time Series.- A Resistant Measure of Heteroskedasticity in Explorative Time Series Analysis.- Computer Intensive Techniques and Algorithms.- Smoothing Score Algorithm for Generalized Additive Models.- Bootstrap Variables Selection in Neural Network Regression Models.- Robust Centre Location in Radial Basis Function Networks.- The Genetic Algorithm Estimates for the Parameters of Order p Normal Distributions.- Classification and Data Analysis in Economics.- Non-linear Dynamics in the Industrial Production Index.- Tensorial Co-Structure Analysis for the Full Multi Modules Customer Satisfaction Evaluation.- A Proposal of Classification of Wholesale Trade Enterprises on the Base of Structural and Performance Indicators.- The Analysis of Poverty in Italy: A Fuzzy Dynamic Approach.- Multivariate Analysis in Applied Sciences.- Combining Information from Several Experts: Selecting and Stopping Rules in Sequential Consulting.- A Spatial Clustering Hierarchical Model for Disease Mapping.- Second-order Interaction in a Trivariate Generalized Gamma Distribution.- Mortality and Air Pollution in Philadelphia: A Dynamic Generalized Linear Modelling Approach.- The Multivariate Adaptive Sampling for Estimating the Diversity in Biological Populations.- Adjusted Least Square Estimation for Noisy Images.- Flexible Dynamic Regression Models for Real-time Forecasting of Air Pollutant Concentration.