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The Resource Advanced Studies in Behaviormetrics and Data Science : Essays in Honor of Akinori Okada, edited by Tadashi Imaizumi, Atsuho Nakayama, Satoru Yokoyama, (electronic resource)

Advanced Studies in Behaviormetrics and Data Science : Essays in Honor of Akinori Okada, edited by Tadashi Imaizumi, Atsuho Nakayama, Satoru Yokoyama, (electronic resource)

Label
Advanced Studies in Behaviormetrics and Data Science : Essays in Honor of Akinori Okada
Title
Advanced Studies in Behaviormetrics and Data Science
Title remainder
Essays in Honor of Akinori Okada
Statement of responsibility
edited by Tadashi Imaizumi, Atsuho Nakayama, Satoru Yokoyama
Contributor
Editor
Subject
Language
eng
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.--
Member of
Assigning source
Provided by publisher
Image bit depth
0
Literary form
non fiction
Nature of contents
dictionaries
http://library.link/vocab/relatedWorkOrContributorName
  • Imaizumi, Tadashi
  • Nakayama, Atsuho
  • Yokoyama, Satoru
Series statement
  • Behaviormetrics: Quantitative Approaches to Human Behavior,
  • Springer eBooks.
Series volume
5
http://library.link/vocab/subjectName
  • Statistics
  • Motivation research (Marketing)
  • Mathematics
  • Visualization
  • Social sciences
  • Psychometrics
Label
Advanced Studies in Behaviormetrics and Data Science : Essays in Honor of Akinori Okada, edited by Tadashi Imaizumi, Atsuho Nakayama, Satoru Yokoyama, (electronic resource)
Link
https://eui.idm.oclc.org/login?url=https://doi.org/10.1007/978-981-15-2700-5
Instantiates
Publication
Antecedent source
mixed
Carrier category
online resource
Carrier category code
  • cr
Carrier MARC source
rdacarrier
Color
not applicable
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
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.
Control code
978-981-15-2700-5
Dimensions
unknown
Edition
1st ed. 2020.
Extent
1 online resource (XV, 472 pages)
File format
multiple file formats
Form of item
  • online
  • electronic
Isbn
9789811527005
Level of compression
uncompressed
Media category
computer
Media MARC source
rdamedia
Media type code
  • c
Other physical details
136 illustrations, 69 illustrations in color.
Quality assurance targets
absent
Reformatting quality
access
Specific material designation
remote
System control number
(OCoLC)1152054865
Label
Advanced Studies in Behaviormetrics and Data Science : Essays in Honor of Akinori Okada, edited by Tadashi Imaizumi, Atsuho Nakayama, Satoru Yokoyama, (electronic resource)
Link
https://eui.idm.oclc.org/login?url=https://doi.org/10.1007/978-981-15-2700-5
Publication
Antecedent source
mixed
Carrier category
online resource
Carrier category code
  • cr
Carrier MARC source
rdacarrier
Color
not applicable
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
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.
Control code
978-981-15-2700-5
Dimensions
unknown
Edition
1st ed. 2020.
Extent
1 online resource (XV, 472 pages)
File format
multiple file formats
Form of item
  • online
  • electronic
Isbn
9789811527005
Level of compression
uncompressed
Media category
computer
Media MARC source
rdamedia
Media type code
  • c
Other physical details
136 illustrations, 69 illustrations in color.
Quality assurance targets
absent
Reformatting quality
access
Specific material designation
remote
System control number
(OCoLC)1152054865

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