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...

Descripción completa

Detalles Bibliográficos
Autores principales: Morlini, Isabella, Minerva, Tommaso, Vichi, Maurizio
Lenguaje:eng
Publicado: Springer 2015
Materias:
Mathematical Physics and Mathematics
Acceso en línea:https://dx.doi.org/10.1007/978-3-319-17377-1
http://cds.cern.ch/record/2112856
_version_ 1780948968570617856
author Morlini, Isabella
Minerva, Tommaso
Vichi, Maurizio
author_facet Morlini, Isabella
Minerva, Tommaso
Vichi, Maurizio
author_sort Morlini, Isabella
collection CERN
description 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.
id cern-2112856
institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2015
publisher Springer
record_format invenio
spelling cern-21128562021-04-21T20:00:51Zdoi:10.1007/978-3-319-17377-1http://cds.cern.ch/record/2112856engMorlini, IsabellaMinerva, TommasoVichi, MaurizioAdvances in statistical models for data analysisMathematical Physics and MathematicsThis 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.Springeroai:cds.cern.ch:21128562015
spellingShingle Mathematical Physics and Mathematics
Morlini, Isabella
Minerva, Tommaso
Vichi, Maurizio
Advances in statistical models for data analysis
title Advances in statistical models for data analysis
title_full Advances in statistical models for data analysis
title_fullStr Advances in statistical models for data analysis
title_full_unstemmed Advances in statistical models for data analysis
title_short Advances in statistical models for data analysis
title_sort advances in statistical models for data analysis
topic Mathematical Physics and Mathematics
url https://dx.doi.org/10.1007/978-3-319-17377-1
http://cds.cern.ch/record/2112856
work_keys_str_mv AT morliniisabella advancesinstatisticalmodelsfordataanalysis
AT minervatommaso advancesinstatisticalmodelsfordataanalysis
AT vichimaurizio advancesinstatisticalmodelsfordataanalysis

Ejemplares similares