Téléchargez le livre : Statistical Models and Methods for Data Science

Statistical Models and Methods for Data Science

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Éditeur :

Springer


Collection :

Studies in Classification, Data Analysis, and Knowledge Organization

Paru le : 2023-07-24

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Description

This book focuses on methods and models in classification and data analysis and presents real-world applications at the interface with data science. Numerous topics are covered, ranging from statistical inference and modelling to clustering and factorial methods, and from directional data analysis to time series analysis and small area estimation. The applications deal with new developments in a variety of fields, including medicine, finance, engineering, marketing, and cyber risk.The contents comprise selected and peer-reviewed contributions presented at the 13th Scientific Meeting of the Classification and Data Analysis Group of the Italian Statistical Society, CLADAG 2021, held (online) in Florence, Italy, on September 9–11, 2021. CLADAG promotes advanced methodological research in multivariate statistics with a special focus on data analysis and classification, and supports the exchange and dissemination of ideas, methodological concepts, numerical methods, algorithms, and computational and applied results at the interface between classification and data science.
Pages
188 pages
Collection
Studies in Classification, Data Analysis, and Knowledge Organization
Parution
2023-07-24
Marque
Springer
EAN papier
9783031301636
EAN PDF
9783031301643
Informations sur l'ebook
Nombre pages copiables
1
Nombre pages imprimables
18
Taille du fichier
2877 Ko
Prix
137,14 €
EAN EPUB
9783031301643
Informations sur l'ebook
Nombre pages copiables
1
Nombre pages imprimables
18
Taille du fichier
15616 Ko
Prix
137,14 €

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