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＜電子ブック＞
Advanced Studies in Behaviormetrics and Data Science : Essays in Honor of Akinori Okada / edited by Tadashi Imaizumi, Atsuho Nakayama, Satoru Yokoyama
(Behaviormetrics: Quantitative Approaches to Human Behavior. ISSN:25244035 ; 5)

版	1st ed. 2020.
出版者	(Singapore : Springer Nature Singapore : Imprint: Springer)
出版年	2020
本文言語	英語
大きさ	XV, 472 p. 136 illus., 69 illus. in color : online resource
著者標目	Imaizumi, Tadashi editor Nakayama, Atsuho editor Yokoyama, Satoru editor SpringerLink (Online service)
件　名	LCSH:Social sciences -- Statistical methods  全ての件名で検索 LCSH:Statistics  LCSH:Consumer behavior LCSH:Information visualization LCSH:Sociology -- Methodology  全ての件名で検索 LCSH:Psychometrics FREE:Statistics in Social Sciences, Humanities, Law, Education, Behavorial Sciences, Public Policy FREE:Statistical Theory and Methods FREE:Consumer Behavior FREE:Data and Information Visualization FREE:Sociological Methods FREE:Psychometrics
一般注記	Co-clustering for object by variable data matrices -- How to use the Hermitian Form Model for asymmetric MDS -- Asymmetric scaling models for square contingency tables: points, circles, arrows, and odds ratios -- Comparing partitions of the Petersen graph -- Minkowski distances and standardisation for clustering and classification on high dimensional data. 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. HTTP:URL=https://doi.org/10.1007/978-981-15-2700-5

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