Overview
- Focuses on analysis of device data in data science
- Applies methods and techniques of data science to marketing science, economics, and related fields
- Builds an interface between statistical methods and applications in data science
Part of the book series: Studies in Classification, Data Analysis, and Knowledge Organization (STUDIES CLASS)
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Table of contents (40 papers)
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Statistical Data Analysis for Social Science
Keywords
About this book
This edited volume focuses on the latest developments in classification and data science and covers a wide range of topics in the context of data analysis and related areas, e.g. the analysis of complex data, analysis of qualitative data, methods for high-dimensional data, dimensionality reduction, data visualization, multivariate statistical methods, and various applications to real data in the social sciences, medical sciences, and other disciplines.
In addition to sharing theoretical and methodological findings, the book shows how to apply the proposed methods to a variety of problems — e.g. in consumer behavior, decision-making, marketing data and social network structures. Both methodological aspects and applications to a wide range of areas such as economics, behavioral science, marketing science, management science and the social sciences are covered.
The book is chiefly intended for researchers and practitioners who are interested in the latest developments and practical applications in these fields, as well as applied statisticians and data analysts. Its combination of methodological advances with a wide range of real-world applications gathered from several fields makes it of unique value in helping readers solve their research problems.
Editors and Affiliations
About the editors
Tadashi Imaizumi, School of Management & Information Sciences, Tama University, Tokyo, Japan
Akinori Okada, Rikkyo University, Toshima-ku, Japan
Sadaaki Miyamoto, University of Tsukuba, Ibaraki, JapanFumitake Sakaori, Department of Mathematics, Chuo University, Tokyo, Japan
Yoshiro Yamamoto, Department of Mathematics, Tokai University, Kanagawa, Japan
Maurizio Vichi, Department of Statistical Sciences, Sapienza University of Rome, Roma RM, Italy
Bibliographic Information
Book Title: Advanced Studies in Classification and Data Science
Editors: Tadashi Imaizumi, Akinori Okada, Sadaaki Miyamoto, Fumitake Sakaori, Yoshiro Yamamoto, Maurizio Vichi
Series Title: Studies in Classification, Data Analysis, and Knowledge Organization
DOI: https://doi.org/10.1007/978-981-15-3311-2
Publisher: Springer Singapore
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer Nature Singapore Pte Ltd. 2020
Softcover ISBN: 978-981-15-3310-5Published: 26 September 2020
eBook ISBN: 978-981-15-3311-2Published: 25 September 2020
Series ISSN: 1431-8814
Series E-ISSN: 2198-3321
Edition Number: 1
Number of Pages: XI, 524
Number of Illustrations: 57 b/w illustrations, 64 illustrations in colour
Topics: Applied Statistics, Statistical Theory and Methods, Visualization, Methodology of the Social Sciences, Computational Social Sciences, Consumer Behavior