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Title Advanced studies in behaviormetrics and data science : essays in honor of Akinori Okada / Tadashi Imaizumi, Atsuho Nakayama, Satoru Yokoyama, editors
Published Singapore : Springer Singapore Pte. Limited, 2020
©2020

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Description 1 online resource (xv, 472 pages)
Series Behaviormetrics: Quantitative Approaches to Human Behavior ; v. 5
Behaviormetrics ; v. 5.
Contents Part I. Theoretically-oriened -- 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 -- Flight Passenger Behavior and Airline Fleet Assignment -- Comparing Partitions of the Petersen Graph -- Minkowski Distances and Standardisation for Clustering and Classification on High-Dimensional Data -- On Detection of the Unique Dimensions of Asymmetry in Proximity Data -- Multiple Regression Analysis from Data Science Perspective -- Multiway Extensions of the SVD -- Seriation and Matrix Reordering Methods for Asymmetric One-Mode Two-Way Datasets -- Parsimonious Mixtures of Matrix Variate Bilinear Factor Analyzers -- Interval-Valued Scaling of Successive Categories -- Orthonormal Principal Component Analysis for Categorical Data as a Transformation of Multiple Correspondence Analysis -- Quantification Theory: Categories, Variables and Modal Analysis -- Clustering via Ant Colonies: Parameter Analysis and Improvement of the Algorithm -- PowerCA: A Fast Iterative Implementation of Correspondence Analysis -- Modeling Asymmetric Exchanges Between Clusters -- Exploring Hierarchical Concepts: Theoretical and Application Comparisons -- Improving Algorithm for Overlapping Cluster Analysis -- Part II. Application-oriented -- Increasing Conversion Rates Through Eye Tracking, TAM, A/B Tests: A Case Study -- Descriptive Analyses of Interrater Agreement for Ordinal Rating Scales -- The Globality of Brands---A Question of Methods? -- Mapping Networks and Trees with Multidimensional Scaling of Proximities -- Pitfalls in the Construction of Response Scales in Cross-Cultural Surveys: An Example from East Asian Social Survey -- Japanese Women's Attitudes Toward Childrearing: Text Analysis and Multidimensional Scaling -- Consensus or Dissensus in Occupational Prestige Evaluation: A New Approach to Measuring Consensus and Inter-group Variations -- People and trust
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
Bibliography Includes bibliographical references
Notes Print version record
Subject Mathematical statistics.
Social sciences -- Statistical methods.
Social sciences -- Statistical methods
Mathematical statistics
Genre/Form Electronic books
Festschriften
Festschriften.
Form Electronic book
Author Imaizumi, Tadashi, editor
Nakayama, Atsuho, editor
Yokoyama, Satoru, editor
ISBN 9789811527005
9811527008