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)
Resource Information
The item Advanced Studies in Behaviormetrics and Data Science : Essays in Honor of Akinori Okada, edited by Tadashi Imaizumi, Atsuho Nakayama, Satoru Yokoyama, (electronic resource) represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in European University Institute.This item is available to borrow from 1 library branch.
Resource Information
The item Advanced Studies in Behaviormetrics and Data Science : Essays in Honor of Akinori Okada, edited by Tadashi Imaizumi, Atsuho Nakayama, Satoru Yokoyama, (electronic resource) represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in European University Institute.
This item is available to borrow from 1 library branch.
- 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.--
- Language
- eng
- Edition
- 1st ed. 2020.
- Extent
- 1 online resource (XV, 472 pages)
- 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.
- Isbn
- 9789811527005
- 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
- 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.--
- 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)
- 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)
- 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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<div class="citation" vocab="http://schema.org/"><i class="fa fa-external-link-square fa-fw"></i> Data from <span resource="http://link.library.eui.eu/portal/Advanced-Studies-in-Behaviormetrics-and-Data/whM7MKkSt8I/" typeof="Book http://bibfra.me/vocab/lite/Item"><span property="name http://bibfra.me/vocab/lite/label"><a href="http://link.library.eui.eu/portal/Advanced-Studies-in-Behaviormetrics-and-Data/whM7MKkSt8I/">Advanced Studies in Behaviormetrics and Data Science : Essays in Honor of Akinori Okada, edited by Tadashi Imaizumi, Atsuho Nakayama, Satoru Yokoyama, (electronic resource)</a></span> - <span property="potentialAction" typeOf="OrganizeAction"><span property="agent" typeof="LibrarySystem http://library.link/vocab/LibrarySystem" resource="http://link.library.eui.eu/"><span property="name http://bibfra.me/vocab/lite/label"><a property="url" href="http://link.library.eui.eu/">European University Institute</a></span></span></span></span></div>
