Statistical Models and Methods for Data Science (1st ed. 2023)

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.

General

Imprint:	Springer International Publishing AG
Country of origin:	Switzerland
Series:	Studies in Classification, Data Analysis, and Knowledge Organization
Release date:	July 2023
Editors:	Leonardo Grilli • Monia Lupparelli • Carla Rampichini • Emilia Rocco • Maurizio Vichi
Dimensions:	235 x 155mm (L x W)
Pages:	188
Edition:	1st ed. 2023
ISBN-13:	978-3-03-130163-6
Categories:	Books
LSN:	3-03-130163-3
Barcode:	9783031301636

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