Téléchargez le livre : Statistical Learning and Modeling in Data Analysis

Statistical Learning and Modeling in Data Analysis

Methods and Applications de

Éditeur :

Springer


Collection :

Studies in Classification, Data Analysis, and Knowledge Organization

Paru le : 2021-07-13

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Description

The contributions gathered in this book focus on modern methods for statistical learning and modeling in data analysis and present a series of engaging real-world applications. The book covers numerous research topics, ranging from statistical inference and modeling to clustering and factorial methods, from directional data analysis to time series analysis and small area estimation. The applications reflect new analyses in a variety of fields, including medicine, finance, engineering, marketing and cyber risk.The book gathers selected and peer-reviewed contributions presented at the 12th Scientific Meeting of the Classification and Data Analysis Group of the Italian Statistical Society (CLADAG 2019), held in Cassino, Italy, on September 11–13, 2019. 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. This book, true to CLADAG’s goals, is intended for researchers and practitioners who are interested in the latest developments and applications in the field of data analysis and classification.
Pages
182 pages
Collection
Studies in Classification, Data Analysis, and Knowledge Organization
Parution
2021-07-13
Marque
Springer
EAN papier
9783030699437
EAN PDF
9783030699444
Informations sur l'ebook
Nombre pages copiables
1
Nombre pages imprimables
18
Taille du fichier
4086 Ko
Prix
168,79 €
EAN EPUB
9783030699444
Informations sur l'ebook
Nombre pages copiables
1
Nombre pages imprimables
18
Taille du fichier
17736 Ko
Prix
168,79 €

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