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Advanced Studies in Behaviormetrics and Data Science

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Cover of 'Advanced Studies in Behaviormetrics and Data Science'

Table of Contents

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    Book Overview
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    Chapter 1 Co-Clustering for Object by Variable Data Matrices
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    Chapter 2 How to Use the Hermitian Form Model for Asymmetric MDS
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    Chapter 3 Asymmetric Scaling Models for Square Contingency Tables: Points, Circles, Arrows and Odds Ratios
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    Chapter 4 Flight Passenger Behavior and Airline Fleet Assignment
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    Chapter 5 Comparing Partitions of the Petersen Graph
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    Chapter 6 Minkowski Distances and Standardisation for Clustering and Classification on High-Dimensional Data
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    Chapter 7 On Detection of the Unique Dimensions of Asymmetry in Proximity Data
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    Chapter 8 Multiple Regression Analysis from Data Science Perspective
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    Chapter 9 Multiway Extensions of the SVD
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    Chapter 10 Seriation and Matrix Reordering Methods for Asymmetric One-Mode Two-Way Datasets
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    Chapter 11 Parsimonious Mixtures of Matrix Variate Bilinear Factor Analyzers
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    Chapter 12 Interval-Valued Scaling of Successive Categories
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    Chapter 13 Orthonormal Principal Component Analysis for Categorical Data as a Transformation of Multiple Correspondence Analysis
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    Chapter 14 Identifying Groups With Different Traits Using Fourteen Domains of Social Consciousness: A Multidimensional Latent Class Graded Item Response Theory Model
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    Chapter 15 Quantification Theory: Categories, Variables and Modal Analysis
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    Chapter 16 Clustering via Ant Colonies: Parameter Analysis and Improvement of the Algorithm
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    Chapter 17 PowerCA: A Fast Iterative Implementation of Correspondence Analysis
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    Chapter 18 Modeling Asymmetric Exchanges Between Clusters
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    Chapter 19 Exploring Hierarchical Concepts: Theoretical and Application Comparisons
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    Chapter 20 Improving Algorithm for Overlapping Cluster Analysis
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    Chapter 21 Increasing Conversion Rates Through Eye Tracking, TAM, A/B Tests: A Case Study
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    Chapter 22 Descriptive Analyses of Interrater Agreement for Ordinal Rating Scales
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    Chapter 23 The Globality of Brands—A Question of Methods?
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    Chapter 24 Mapping Networks and Trees with Multidimensional Scaling of Proximities
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    Chapter 25 Pitfalls in the Construction of Response Scales in Cross-Cultural Surveys: An Example from East Asian Social Survey
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    Chapter 26 Japanese Women’s Attitudes Toward Childrearing: Text Analysis and Multidimensional Scaling
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    Chapter 27 Consensus or Dissensus in Occupational Prestige Evaluation: A New Approach to Measuring Consensus and Inter-group Variations
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    Chapter 28 People and Trust
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Title
Advanced Studies in Behaviormetrics and Data Science
Published by
Springer Singapore, January 2020
DOI 10.1007/978-981-15-2700-5
ISBNs
978-9-81-152699-2, 978-9-81-152700-5
Editors

Tadashi Imaizumi, Atsuho Nakayama, Satoru Yokoyama

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