Classification and Data Analysis: Theory and Applications (Studies in Classification, Data Analysis, and Knowledge Organization) - Tapa blanda

Acerca del autor

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.

De la contraportada

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.