Data Analysis and Classification (eBook)

Methods and Applications
eBook Download: PDF
2021 | 1st ed. 2021
XIII, 352 Seiten
Springer International Publishing (Verlag)
978-3-030-75190-6 (ISBN)

Lese- und Medienproben

Data Analysis and Classification -
Systemvoraussetzungen
149,79 inkl. MwSt
  • Download sofort lieferbar
  • Zahlungsarten anzeigen

This volume gathers peer-reviewed contributions that address a wide range of recent developments in the methodology and applications of data analysis and classification tools in micro and macroeconomic problems. The papers were originally presented at the 29th Conference of the Section on Classification and Data Analysis of the Polish Statistical Association, SKAD 2020, held in Sopot, Poland, September 7-9, 2020. Providing a balance between methodological contributions and empirical papers, the book is divided into five parts focusing on methodology, finance, economics, social issues and applications dealing with COVID-19 data. It is aimed at a wide audience, including researchers at universities and research institutions, graduate and doctoral students, practitioners, data scientists and employees in public statistical institutions.



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, and he is an author of numerous international and regional publications, including 18 books.

Krzysztof Najman is an Associate Professor at the University of Gdansk, Poland and Deputy Dean for Student Affairs and Education of the Faculty of Management. He is a member of the Main Council of the Polish Statistical Association and its Section of Classification and Data Analysis (SKAD). His scientific interests include cluster analysis and classification methods, artificial intelligence models, self-learning neural networks, multivariate statistical analysis, and data mining. He is an author of numerous international and regional publications, including 1 book.

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, and he has authored numerous publications, including 11 books.

Erscheint lt. Verlag 28.6.2021
Reihe/Serie Studies in Classification, Data Analysis, and Knowledge Organization
Studies in Classification, Data Analysis, and Knowledge Organization
Zusatzinfo XIII, 352 p. 122 illus., 37 illus. in color.
Sprache englisch
Themenwelt Mathematik / Informatik Informatik Datenbanken
Mathematik / Informatik Mathematik Statistik
Mathematik / Informatik Mathematik Wahrscheinlichkeit / Kombinatorik
Wirtschaft Allgemeines / Lexika
Schlagworte classification • cluster analysis • composite measures • computer applications of statistical methods • Data Mining • micro and macroeconomic problems • Multivariate Data Analysis • Regression • Visualization
ISBN-10 3-030-75190-2 / 3030751902
ISBN-13 978-3-030-75190-6 / 9783030751906
Haben Sie eine Frage zum Produkt?
PDFPDF (Wasserzeichen)
Größe: 9,5 MB

DRM: Digitales Wasserzeichen
Dieses eBook enthält ein digitales Wasser­zeichen und ist damit für Sie persona­lisiert. Bei einer missbräuch­lichen Weiter­gabe des eBooks an Dritte ist eine Rück­ver­folgung an die Quelle möglich.

Dateiformat: PDF (Portable Document Format)
Mit einem festen Seiten­layout eignet sich die PDF besonders für Fach­bücher mit Spalten, Tabellen und Abbild­ungen. Eine PDF kann auf fast allen Geräten ange­zeigt werden, ist aber für kleine Displays (Smart­phone, eReader) nur einge­schränkt geeignet.

Systemvoraussetzungen:
PC/Mac: Mit einem PC oder Mac können Sie dieses eBook lesen. Sie benötigen dafür einen PDF-Viewer - z.B. den Adobe Reader oder Adobe Digital Editions.
eReader: Dieses eBook kann mit (fast) allen eBook-Readern gelesen werden. Mit dem amazon-Kindle ist es aber nicht kompatibel.
Smartphone/Tablet: Egal ob Apple oder Android, dieses eBook können Sie lesen. Sie benötigen dafür einen PDF-Viewer - z.B. die kostenlose Adobe Digital Editions-App.

Buying eBooks from abroad
For tax law reasons we can sell eBooks just within Germany and Switzerland. Regrettably we cannot fulfill eBook-orders from other countries.

Mehr entdecken
aus dem Bereich
der Grundkurs für Ausbildung und Praxis

von Ralf Adams

eBook Download (2023)
Carl Hanser Verlag GmbH & Co. KG
29,99
Das umfassende Handbuch

von Wolfram Langer

eBook Download (2023)
Rheinwerk Computing (Verlag)
49,90