Ebook: Advances in Multivariate Data Analysis: Proceedings of the Meeting of the Classification and Data Analysis Group (CLADAG) of the Italian Statistical Society, University of Palermo, July 5–6, 2001
- Tags: Statistics for Business/Economics/Mathematical Finance/Insurance, Game Theory/Mathematical Methods, Pattern Recognition, Statistics for Life Sciences Medicine Health Sciences
- Series: Studies in Classification Data Analysis and Knowledge Organization
- Year: 2004
- Publisher: Springer-Verlag Berlin Heidelberg
- Edition: 1
- Language: English
- pdf
This volume contains a selection of papers presented during the biennial meeting of the CLAssification and Data Analysis Group (CLADAG) of the Societa Italiana di Statistica which was orga nized by the Istituto di Statistica of the Universita degli Studi di Palermo and held in the Palazzo Steri in Palermo on July 5-6, 2001. For this conference, and after checking the submitted 4 page abstracts, 54 papers were admitted for presentation. They covered a large range of topics from multivariate data analysis, with special emphasis on classification and clustering, computa tional statistics, time series analysis, and applications in various classical or recent domains. A two-fold careful reviewing process led to the selection of 22 papers which are presented in this vol ume. They convey either a new idea or methodology, present a new algorithm, or concern an interesting application. We have clustered these papers into five groups as follows: 1. Classification Methods with Applications 2. Time Series Analysis and Related Methods 3. Computer Intensive Techniques and Algorithms 4. Classification and Data Analysis in Economics 5. Multivariate Analysis in Applied Sciences. In each section the papers are arranged in alphabetical order. The editors - two of them the organizers of the CLADAG confer ence - would like to express their gratitude to the authors whose enthusiastic participation made the meeting possible and very successful.
The book presents a range of new developments in the theory and practice of multivariate statistical data analysis. Among the topics are the construction and comparison of classification trees, clustering methods, generalized multivariate distributions, the analysis of symbolic data, explorative time series analysis, smoothing and dynamic regression models, generalized linear models, and neural networks. Several contributions illustrate the use of multivariate methods in application fields such as economics, medicine, environment, and biology.
The book presents a range of new developments in the theory and practice of multivariate statistical data analysis. Among the topics are the construction and comparison of classification trees, clustering methods, generalized multivariate distributions, the analysis of symbolic data, explorative time series analysis, smoothing and dynamic regression models, generalized linear models, and neural networks. Several contributions illustrate the use of multivariate methods in application fields such as economics, medicine, environment, and biology.
Content:
Front Matter....Pages I-XI
Front Matter....Pages 1-1
The STP Procedure as Overfitting Avoidance Tool in Classification Trees....Pages 3-13
A Modal Symbolic Pattern Classifier....Pages 15-25
Proximity Measures Between Classification Trees....Pages 27-37
Ordinal Classification Trees Based on Impurity Measures....Pages 39-51
Front Matter....Pages 53-53
Space Time Noisy Observation Smoothing....Pages 55-66
Spectral Analysis in Frequency and Time Domain for Noisy Time Series....Pages 67-79
A Resistant Measure of Heteroskedasticity in Explorative Time Series Analysis....Pages 81-92
Front Matter....Pages 93-93
Smoothing Score Algorithm for Generalized Additive Models....Pages 95-107
Bootstrap Variables Selection in Neural Network Regression Models....Pages 109-120
Robust Centre Location in Radial Basis Function Networks....Pages 121-132
The Genetic Algorithm Estimates for the Parameters of Order p Normal Distributions....Pages 133-143
Front Matter....Pages 145-145
Non-linear Dynamics in the Industrial Production Index....Pages 147-157
Tensorial Co-Structure Analysis for the Full Multi Modules Customer Satisfaction Evaluation....Pages 159-168
A Proposal of Classification of Wholesale Trade Enterprises on the Base of Structural and Performance Indicators....Pages 169-180
The Analysis of Poverty in Italy: A Fuzzy Dynamic Approach....Pages 181-192
Front Matter....Pages 193-193
Combining Information from Several Experts: Selecting and Stopping Rules in Sequential Consulting....Pages 195-207
A Spatial Clustering Hierarchical Model for Disease Mapping....Pages 209-218
Second-order Interaction in a Trivariate Generalized Gamma Distribution....Pages 219-231
Mortality and Air Pollution in Philadelphia: A Dynamic Generalized Linear Modelling Approach....Pages 233-243
The Multivariate Adaptive Sampling for Estimating the Diversity in Biological Populations....Pages 245-254
Front Matter....Pages 193-193
Adjusted Least Square Estimation for Noisy Images....Pages 255-264
Flexible Dynamic Regression Models for Real-time Forecasting of Air Pollutant Concentration....Pages 265-276
Back Matter....Pages 277-281
The book presents a range of new developments in the theory and practice of multivariate statistical data analysis. Among the topics are the construction and comparison of classification trees, clustering methods, generalized multivariate distributions, the analysis of symbolic data, explorative time series analysis, smoothing and dynamic regression models, generalized linear models, and neural networks. Several contributions illustrate the use of multivariate methods in application fields such as economics, medicine, environment, and biology.
Content:
Front Matter....Pages I-XI
Front Matter....Pages 1-1
The STP Procedure as Overfitting Avoidance Tool in Classification Trees....Pages 3-13
A Modal Symbolic Pattern Classifier....Pages 15-25
Proximity Measures Between Classification Trees....Pages 27-37
Ordinal Classification Trees Based on Impurity Measures....Pages 39-51
Front Matter....Pages 53-53
Space Time Noisy Observation Smoothing....Pages 55-66
Spectral Analysis in Frequency and Time Domain for Noisy Time Series....Pages 67-79
A Resistant Measure of Heteroskedasticity in Explorative Time Series Analysis....Pages 81-92
Front Matter....Pages 93-93
Smoothing Score Algorithm for Generalized Additive Models....Pages 95-107
Bootstrap Variables Selection in Neural Network Regression Models....Pages 109-120
Robust Centre Location in Radial Basis Function Networks....Pages 121-132
The Genetic Algorithm Estimates for the Parameters of Order p Normal Distributions....Pages 133-143
Front Matter....Pages 145-145
Non-linear Dynamics in the Industrial Production Index....Pages 147-157
Tensorial Co-Structure Analysis for the Full Multi Modules Customer Satisfaction Evaluation....Pages 159-168
A Proposal of Classification of Wholesale Trade Enterprises on the Base of Structural and Performance Indicators....Pages 169-180
The Analysis of Poverty in Italy: A Fuzzy Dynamic Approach....Pages 181-192
Front Matter....Pages 193-193
Combining Information from Several Experts: Selecting and Stopping Rules in Sequential Consulting....Pages 195-207
A Spatial Clustering Hierarchical Model for Disease Mapping....Pages 209-218
Second-order Interaction in a Trivariate Generalized Gamma Distribution....Pages 219-231
Mortality and Air Pollution in Philadelphia: A Dynamic Generalized Linear Modelling Approach....Pages 233-243
The Multivariate Adaptive Sampling for Estimating the Diversity in Biological Populations....Pages 245-254
Front Matter....Pages 193-193
Adjusted Least Square Estimation for Noisy Images....Pages 255-264
Flexible Dynamic Regression Models for Real-time Forecasting of Air Pollutant Concentration....Pages 265-276
Back Matter....Pages 277-281
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