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Applied Statistics and Multivariate Data Analysis for Business and Economics de Thomas Cleff

Applied Statistics and Multivariate Data Analysis for Business and Economics: Springer Texts in Business and Economics

Autor Thomas Cleff
en Limba Engleză Hardback – 6 mar 2025
This comprehensive textbook equips students of economics and business, as well as industry professionals, with essential principles, techniques, and applications of applied statistics, statistical testing, and multivariate data analysis.
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Paperback (1) 48040 lei  6-8 săpt.
  Springer International Publishing – 14 aug 2020 48040 lei  6-8 săpt.
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  Springer International Publishing – 19 iul 2019 57730 lei  3-5 săpt.
  Springer – 6 mar 2025 72373 lei  38-45 zile

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Specificații

ISBN-13: 9783031780691
ISBN-10: 3031780698
Pagini: 584
Dimensiuni: 160 x 241 x 35 mm
Greutate: 1.14 kg
Ediția:Second Edition 2025
Editura: Springer
Seria Springer Texts in Business and Economics

Cuprins

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.

Recenzii

“The book will be a very good textbook in applied statistics and multivariate data analysis for students in economics and business, and also for practitioners in firms that use those methods in their work.” (Anatoliy Swishchuk, zbMATH 1429.62002, 2020)

Notă biografică

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. 

Textul de pe ultima copertă

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.

Caracteristici

Offers a broad overview of the most important statistical and multivariate methods Uses Excel, SPSS, and Stata, showing readers how to perform even complex data analyses independently Includes a wealth of numerical examples and exercises Includes supplementary material: sn.pub/extras