Modern Classification and Data Analysis

ISBN 10: 3031101898 / ISBN 13: 9783031101892

Published by Springer, Berlin|Springer International Publishing|Springer, 2022

About this Item

Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This volume presents a selection of peer-reviewed papers that address the latest developments in the methodology and applications of data analysis and classification tools to micro- and macroeconomic problems. The contributions were originally presented .

Seller Inventory # 605116591

Bibliographic Details

• Title: Modern Classification and Data Analysis
• Publisher: Springer, Berlin|Springer International Publishing|Springer
• Publication Date: 2022
• Language: English
• ISBN 10: 3031101898
• ISBN 13: 9783031101892
• Binding: Soft cover
• Condition: New
• Seller catalogs:
  • Sozialwissenschaften/Recht/Wirtschaft

About this title

Synopsis

This volume presents a selection of peer-reviewed papers that address the latest developments in the methodology and applications of data analysis and classification tools to micro- and macroeconomic problems. The contributions were originally presented at the 30th Conference of the Section on Classification and Data Analysis of the Polish Statistical Association, SKAD 2021, held online in Poznań, Poland, September 8–10, 2021. 

Providing a balance between methodological and empirical studies, and covering a wide range of topics, the book is divided into five parts focusing on methods and applications in finance, economics, social issues and to COVID-19 data. The book is aimed at a wide audience, including researchers at universities and research institutions, PhD students, as well as practitioners, data scientists and employees in public statistical institutions.

About the Author

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 and holds an honorary doctorate from Cracow University of Economics and an honorary professorship from Warsaw University of Technology. His scientific interests include financial econometrics and financial markets, risk analysis and management, household finance and multivariate statistics. 

Grażyna Dehnel is an Associate Professor at the Department of Statistics, Poznań University of Economics and Business, Poland. Her main research interests include small area estimation, classification and data analysis methods, survey sampling, and short-term and structural business statistics. She is also interested in outlier robust regression applied on business data and data integration. 

Marek Walesiak is a Professor of Economics, and Chair of the Department of Econometrics and Computer Science at the Wroclaw University of Economics and Business, Poland. He is a member of the Methodological Commission and the Scientific Statistical Council in Statistics Poland (GUS) and an active member of many scientific professional bodies, including the Section of Classification and Data Analysis (SKAD). His scientific interests are in classification and data analysis, composite indicators, multivariate statistical analysis, marketing research, and computational techniques in R.