Applied Statistics and Multivariate Data Analysis for Business and Economics

A Modern Approach Using SPSS, Stata, and Excel
1. Auflage 2019
ISBN: 978-3-030-17769-0
Verlag: Springer International Publishing

Buch, Englisch, 474 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 750 g

This textbook will familiarize students in economics and business, as well as practitioners, with the basic principles, techniques, and applications of applied statistics, statistical testing, and multivariate data analysis. Drawing on practical examples from the business world, it demonstrates the methods of univariate, bivariate, and multivariate statistical analysis. The textbook covers a range of topics, from data collection and scaling to the presentation and simple univariate analysis of quantitative data, while also providing advanced analytical procedures for assessing multivariate relationships. Accordingly, it addresses all topics typically covered in university courses on statistics and advanced applied data analysis. In addition, it does not limit itself to presenting applied methods, but also discusses the related use of Excel, SPSS, and Stata.

Zielgruppe

Lower undergraduate

Autoren/Hrsg.

Cleff, Thomas

Fachgebiete

• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Big Data
• Mathematik | Informatik Mathematik Stochastik Mathematische Statistik
• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Automatische Datenerfassung, Datenanalyse
• Mathematik | Informatik EDV | Informatik Angewandte Informatik Wirtschaftsinformatik
• Wirtschaftswissenschaften Volkswirtschaftslehre Volkswirtschaftslehre Allgemein Wirtschaftsstatistik, Demographie
• Wirtschaftswissenschaften Volkswirtschaftslehre Volkswirtschaftslehre Allgemein Ökonometrie
• Wirtschaftswissenschaften Betriebswirtschaft Wirtschaftsmathematik und -statistik
• Wirtschaftswissenschaften Betriebswirtschaft Wirtschaftsinformatik, SAP, IT-Management

Inhaltsverzeichnis

Statistics and Empirical Research.- From Disarray to Dataset.- Univariate Data Analysis.- Bivariate Association.- Classical Measurement Theory.-Calculating Probability.- Random Variables and Probability Distributions.- Parameter Estimation.- Hypothesis Testing.- Regression Analysis.- Time Series and Indices.- Cluster Analysis.- Factor Analysis.

Über Autor(innen)

Thomas Cleff is a Professor of Quantitative Methods for Business and Economics at Pforzheim University, Germany, and a Research Associate at the Centre for European Economic Research (ZEW), Mannheim, Germany. Since joining Pforzheim University in 2000, Cleff has spearheaded the development of an international dual-degree program, was appointed Vice Dean in 2012 and Dean of the Business School in 2014. He is an expert on international accreditation and partnership programmes between institutions of higher education. In 2013, he became a board member at the Network of International Business and Economic Schools (NIBES), and a member of the international advisory board at the South American Education Quality Accreditation Agency (EQUAA); in 2016 he joined the AACSB Initial Accreditation Committee. He has served as a Visiting Professor at several universities, including ESCEM Tours-Poitiers, France; Simon Fraser University, Vancouver, Canada; TEC de Monterrey, Mexico; and Gadjah Mada University, Indonesia.

 Cleff holds degrees in Economics and Management from Pantheon-Sorbonne University, France and the University of Wuppertal, Germany. He was a Senior Researcher at the Centre for European Economic Research (ZEW) in Mannheim from 1997 to 2000, where he led a variety of international research projects in the fields of innovation and strategic management. His main research interests are in international marketing, white-collar crime, brand research, innovation, and industry studies.