Editors:
- Covers data analysis and classification methods applicable to various types of data, including symbolic data
- Presents applications of data analysis methods in numerous areas, including economics, finance and other social sciences
- Will appeal to a wide audience, including researchers, graduate students and practitioners
Part of the book series: Studies in Classification, Data Analysis, and Knowledge Organization (STUDIES CLASS)
Conference series link(s): SKAD: Conference of the Section on Classification and Data Analysis of the Polish Statistical Association
Conference proceedings info: SKAD 2019.
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Table of contents (20 papers)
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Front Matter
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Methods
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Front Matter
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Applications in Finance
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Front Matter
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Applications in Economics
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Front Matter
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Applications in Social Problems
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Front Matter
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About this book
This volume gathers peer-reviewed contributions on data analysis, classification and related areas presented at the 28th Conference of the Section on Classification and Data Analysis of the Polish Statistical Association, SKAD 2019, held in Szczecin, Poland, on September 18–20, 2019. Providing a balance between theoretical and methodological contributions and empirical papers, it covers a broad variety of topics, ranging from multivariate data analysis, classification and regression, symbolic (and other) data analysis, visualization, data mining, and computer methods to composite measures, and numerous applications of data analysis methods in economics, finance and other social sciences. The book is intended for a wide audience, including researchers at universities and research institutions, graduate and doctoral students, practitioners, data scientists and employees in public statistical institutions.
Keywords
- multivariate data analysis
- classification and regression trees
- symbolic data analysis
- visualization and scaling methods
- data mining
- composite measures
- cluster analysis
- applications of statistics in economics and finance
- applications of statistics in social problems
- computer applications of statistical methods
- data analysis tools in micro and macroeconomic problems
Editors and Affiliations
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Department of Financial Investments and Risk Management, Wroclaw University of Economics and Business, Wroclaw, Poland
Krzysztof Jajuga
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Institute of Econometrics and Statistics, University of Szczecin, Szczecin, Poland
Jacek Batóg
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Department of Econometrics and Computer Science, Wroclaw University of Economics and Business, Wroclaw, Poland
Marek Walesiak
About the editors
Krzysztof Jajuga is a Professor of Finance and Statistics and Chair of the Department of Financial Investments and Risk Management at the Wroclaw University of Economics and Business, Poland. He has been a Visiting Professor at several universities in the USA, Europe and China. His scientific interests include financial econometrics, risk analysis and management and multivariate statistics, and he is an author of numerous international and regional publications, including 18 books.
Jacek Batóg is a Professor of Econometrics and Statistics and Chair of the Institute of Econometrics and Statistics at the University of Szczecin, Poland. His scientific interests include classification and data analysis methods, economic growth and development, and analysis of financial condition.
Marek Walesiak is a Professor of Statistics and Econometrics, and Chair of the Department of Econometrics and Computer Science at the Wroclaw University of Economics and Business, Poland. His scientific interests include econometrics, multivariate statistics and marketing research, and he has authored more than 180 publications.
Bibliographic Information
Book Title: Classification and Data Analysis
Book Subtitle: Theory and Applications
Editors: Krzysztof Jajuga, Jacek Batóg, Marek Walesiak
Series Title: Studies in Classification, Data Analysis, and Knowledge Organization
DOI: https://doi.org/10.1007/978-3-030-52348-0
Publisher: Springer Cham
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer Nature Switzerland AG 2020
Softcover ISBN: 978-3-030-52347-3Published: 29 August 2020
eBook ISBN: 978-3-030-52348-0Published: 28 August 2020
Series ISSN: 1431-8814
Series E-ISSN: 2198-3321
Edition Number: 1
Number of Pages: XIII, 335
Number of Illustrations: 65 b/w illustrations, 45 illustrations in colour
Topics: Statistics for Business, Management, Economics, Finance, Insurance, Data Mining and Knowledge Discovery, Statistics for Social Sciences, Humanities, Law, Statistical Theory and Methods, Economic Theory/Quantitative Economics/Mathematical Methods, Statistics and Computing/Statistics Programs