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Modern Classification and Data Analysis: Methodology Applications to Micro- Macroeconomic Problems
Coles
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Modern Classification and Data Analysis: Methodology Applications to Micro- Macroeconomic Problems in Grande Prairie, AB
Current price: $128.99
Original price: $161.25

Coles
Modern Classification and Data Analysis: Methodology Applications to Micro- Macroeconomic Problems in Grande Prairie, AB
Current price: $128.99
Original price: $161.25
Loading Inventory...
Size: Kobo eBook
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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 PoznaÅ, 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.
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 PoznaÅ, 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.





















