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
Clasificación:Libro Electrónico
Autor Corporativo: SpringerLink (Online service)
Otros Autores: Morlini, Isabella (Editor ), Minerva, Tommaso (Editor ), Vichi, Maurizio (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Cham : Springer International Publishing : Imprint: Springer, 2015.
Edición:1st ed. 2015.
Colección:Studies in Classification, Data Analysis, and Knowledge Organization,
Temas:
Statistics .
Mathematical statistics-Data processing.
Social sciences-Statistical methods.
Statistical Theory and Methods.
Statistics and Computing.
Statistics in Business, Management, Economics, Finance, Insurance.
Statistics in Engineering, Physics, Computer Science, Chemistry and Earth Sciences.
Statistics in Social Sciences, Humanities, Law, Education, Behavorial Sciences, Public Policy.
Acceso en línea:Texto Completo
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 illus., 13 illus. in color. online resource.
ISBN:9783319173771
ISSN:2198-3321

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