Häftad, Engelska, 2022
Modern Classification and Data Analysis
Methodology and Applications to Micro- and Macroeconomic Problems
Av Krzysztof Jajuga, Grażyna Dehnel, Marek Walesiak
Del i serien Studies in Classification, Data Analysis, and Knowledge Organization
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Beskrivning
Produktinformation
- Utgivningsdatum: 2022-10-16
- Mått: 155 x 235 x 22 mm
- Vikt: 604 g
- Format: Häftad
- Språk: Engelska
- Serie: Studies in Classification, Data Analysis, and Knowledge Organization
- Antal sidor: 384
- Förlag: Springer International Publishing AG
- ISBN: 9783031101892
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Mer om författaren
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.
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