Advanced Studies in Behaviormetrics and Data Science : Essays in Honor of Akinori Okada /

This book focuses on the latest developments in behaviormetrics and data science, covering a wide range of topics in data analysis and related areas of data science, including analysis of complex data, analysis of qualitative data, methods for high-dimensional data, dimensionality reduction, visuali...

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Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Imaizumi, Tadashi (Editor), Nakayama, Atsuho (Editor), Yokoyama, Satoru (Editor)
Format: eBook
Language:English
Published: Singapore : Springer Singapore : Imprint: Springer, 2020.
Edition:1st ed. 2020.
Series:Behaviormetrics: Quantitative Approaches to Human Behavior, 5
Subjects:
Online Access:Connect to the full text of this electronic book
Description
Summary:This book focuses on the latest developments in behaviormetrics and data science, covering a wide range of topics in data analysis and related areas of data science, including analysis of complex data, analysis of qualitative data, methods for high-dimensional data, dimensionality reduction, visualization of such data, multivariate statistical methods, analysis of asymmetric relational data, and various applications to real data. In addition to theoretical and methodological results, it also shows how to apply the proposed methods to a variety of problems, for example in consumer behavior, decision making, marketing data, and social network structures. Moreover, it discuses methodological aspects and applications in a wide range of areas, such as behaviormetrics; behavioral science; psychology; and marketing, management and social sciences. Combining methodological advances with real-world applications collected from a variety of research fields, the book is a valuable resource for researchers and practitioners, as well as for applied statisticians and data analysts. .
Physical Description:1 online resource (XV, 472 pages 136 illustrations, 69 illustrations in color.)
ISBN:9789811527005
ISSN:2524-4035 ;
DOI:10.1007/978-981-15-2700-5