Advances in Statistical Models for Data Analysis

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 e...

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Detalles Bibliográficos
Autor Corporativo: SpringerLink (-)
Otros Autores: Morlini, Isabella (-), Minerva, Tommaso, Vichi, Maurizio
Formato: Libro electrónico
Idioma:Inglés
Publicado: Cham : Springer International Publishing 2015.
Edición:1st ed
Colección:Studies in Classification, Data Analysis, and Knowledge Organization.
Springer eBooks.
Acceso en línea:Conectar con la versión electrónica
Ver en Universidad de Navarra:https://innopac.unav.es/record=b32921391*spi
Descripción
Sumario: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.
Descripción Física:VIII, 268 p., 49 il., 13 il. col
Formato:Forma de acceso: World Wide Web.
ISBN:9783319173771