Facets of Behaviormetrics

Facets of Behaviormetrics
Title Facets of Behaviormetrics PDF eBook
Author Akinori Okada
Publisher Springer Nature
Pages 335
Release 2023-09-17
Genre Mathematics
ISBN 9819922402

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This edited book is the first one written in English that deals comprehensively with behavior metrics. The term “behaviormetrics” comprehends the research including all sorts of quantitative approaches to disclose human behavior. Researchers in behavior metrics have developed, extended, and improved methods such as multivariate statistical analysis, survey methods, cluster analysis, machine learning, multidimensional scaling, corresponding analysis or quantification theory, network analysis, clustering, factor analysis, test theory, and related factors. In the spirit of behavior metrics, researchers applied these methods to data obtained by surveys, experiments, or websites from a diverse range of fields. The purpose of this book is twofold. One is to represent studies that display how the basic elements of behavior metrics have developed into present-day behavior metrics. The other is to represent studies performed mainly by those who would like to pioneer new fields of behavior metrics and studies that display elements of future behavior metrics. These studies consist of various characteristics such as those dealing with theoretical or conceptual subjects, the algorithm, the model, the method, and the application to a wide variety of fields. This book helps readers to understand the present and future of behavior metrics.

Advanced Studies in Behaviormetrics and Data Science

Advanced Studies in Behaviormetrics and Data Science
Title Advanced Studies in Behaviormetrics and Data Science PDF eBook
Author Tadashi Imaizumi
Publisher Springer Nature
Pages 472
Release 2020-04-17
Genre Social Science
ISBN 9811527008

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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.

High-quality and Timely Statistics

High-quality and Timely Statistics
Title High-quality and Timely Statistics PDF eBook
Author Marco Mingione
Publisher Springer Nature
Pages 274
Release
Genre
ISBN 3031636309

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Measurement, Mathematics and New Quantification Theory

Measurement, Mathematics and New Quantification Theory
Title Measurement, Mathematics and New Quantification Theory PDF eBook
Author Shizuhiko Nishisato
Publisher Springer Nature
Pages 214
Release 2023-06-12
Genre Mathematics
ISBN 981992295X

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The purpose of this book is to thoroughly prepare diverse areas of researchers in quantification theory. As is well known, quantification theory has attracted the attention of a countless number of researchers, some mathematically oriented and others not, but all of them are experts in their own disciplines. Quantifying non-quantitative (qualitative) data requires a variety of mathematical and statistical strategies, some of which are quite complicated. Unlike many books on quantification theory, the current book places more emphasis on preliminary requisites of mathematical tools than on details of quantification theory. As such, the book is primarily intended for readers whose specialty is outside mathematical sciences. The book was designed to offer non-mathematicians a variety of mathematical tools used in quantification theory in simple terms. Once all the preliminaries are fully discussed, quantification theory is then introduced in the last section as a simple application of those mathematical procedures fully discussed so far. The book opens up further frontiers of quantification theory as simple applications of basic mathematics.

Multidimensional Aspects of Occupational Segregation

Multidimensional Aspects of Occupational Segregation
Title Multidimensional Aspects of Occupational Segregation PDF eBook
Author Keiko Nakao
Publisher Springer Nature
Pages 153
Release
Genre
ISBN 9819985137

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Proceedings of the 22nd International Congress of Applied Psychology: Social, educational and clinical psychology

Proceedings of the 22nd International Congress of Applied Psychology: Social, educational and clinical psychology
Title Proceedings of the 22nd International Congress of Applied Psychology: Social, educational and clinical psychology PDF eBook
Author Jūji Misumi
Publisher Taylor & Francis
Pages 422
Release 1992
Genre Education
ISBN 9780863772788

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An Introduction to Clustering with R

An Introduction to Clustering with R
Title An Introduction to Clustering with R PDF eBook
Author Paolo Giordani
Publisher Springer Nature
Pages 346
Release 2020-08-27
Genre Mathematics
ISBN 9811305536

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The purpose of this book is to thoroughly prepare the reader for applied research in clustering. Cluster analysis comprises a class of statistical techniques for classifying multivariate data into groups or clusters based on their similar features. Clustering is nowadays widely used in several domains of research, such as social sciences, psychology, and marketing, highlighting its multidisciplinary nature. This book provides an accessible and comprehensive introduction to clustering and offers practical guidelines for applying clustering tools by carefully chosen real-life datasets and extensive data analyses. The procedures addressed in this book include traditional hard clustering methods and up-to-date developments in soft clustering. Attention is paid to practical examples and applications through the open source statistical software R. Commented R code and output for conducting, step by step, complete cluster analyses are available. The book is intended for researchers interested in applying clustering methods. Basic notions on theoretical issues and on R are provided so that professionals as well as novices with little or no background in the subject will benefit from the book.