Morlini Advances in Statistical Models for Data Analysis

Advances in Statistical Models for Data Analysis

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Beschreibung

This edited volume focuses on recent research results in classification, multivariate statistics and machine learning and highlights advances in statistical models for data analysis. The volume provides both methodological developments and contributions to a wide range of application areas such as economics, marketing, education, social sciences and environment. The papers in this volume were first presented at the 9th biannual meeting of the Classification and Data Analysis Group (CLADAG) of the Italian Statistical Society, held in September 2013 at the University of Modena and Reggio Emilia, Italy.


This edited volume focuses on recent research results in classification, multivariate statistics and machine learning and highlights advances in statistical models for data analysis. The volume provides both methodological developments and contributions to a wide range of application areas such as economics, marketing, education, social sciences and environment. The papers in this volume were first presented at the 9th biannual meeting of the Classification and Data Analysis Group (CLADAG) of the Italian Statistical Society, held in September 2013 at the University of Modena and Reggio Emilia, Italy.


Presents new research results in data analysis and statistical modelling Offers applications in areas such as economics and finance, education, social sciences, environmental and biomedical sciences

Autor*in

Isabella Morlini

Themen in »Advances in Statistical Models for Data Analysis«

Causal inference Classification Custering Data analysis Fuzzy methods Multidimensional methods Quantile regression Statistical models dglars

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Details

ISBN: 9783319173771
Verlag: Springer International Publishing
Erscheinung: 04.09.2015

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