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

Title
Advanced Studies in Behaviormetrics and Data Science [electronic resource] : Essays in Honor of Akinori Okada / edited by Tadashi Imaizumi, Atsuho Nakayama, Satoru Yokoyama.
ISBN
9789811527005
Edition
1st ed. 2020.
Publication
Singapore : Springer Singapore : Imprint: Springer, 2020.
Physical Description
1 online resource (XV, 472 p.) 136 illus., 69 illus. in color.
Local Notes
Access is available to the Yale community.
Access and use
Access restricted by licensing agreement.
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. .
Variant and related titles
Springer ENIN.
Other formats
Printed edition:
Printed edition:
Printed edition:
Format
Books / Online
Language
English
Added to Catalog
April 22, 2020
Series
Behaviormetrics: Quantitative Approaches to Human Behavior ; 5.
Behaviormetrics: Quantitative Approaches to Human Behavior, 5
Contents
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. .
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