Applied Statistics and Multivariate Data Analysis for Business and Economics : A Modern Approach Using R, SPSS, Stata, and Excel

by Thomas Cleff

Chapter 1. Statistics and Empirical Research -- Chapter 2. From Disarray to Dataset -- Chapter 3. Univariate Data Analysis -- Chapter 4. Bivariate Association -- Chapter 5. Classical Measurement Theory -- Chapter 6. Calculating Probability -- Chapter 7. Random Variables and Probability Distributions -- Chapter 8. Parameter Estimation -- Chapter 9. Hypothesis Testing -- Chapter 10. Regression Analysis -- Chapter 11. Logistic Regression -- Chapter 12. Time Series and Indices -- Chapter 13. Cluster Analysis -- Chapter 14. Factor Analysis.

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Year of publication:	2025 ; Second edition
Authors:	Cleff, Thomas
Publisher:	2025.: Cham : Springer Nature Switzerland 2025.: Cham : Imprint: Springer
Subject:	Applied statistics \| Multivariate data analysis \| Business statistics \| SPSS \| Stata \| Excel \| Statistics in economics \| Data analysis \| Data collection \| R \| Univariate Data Analysis \| Multivariate Analyse \| Multivariate analysis \| Ökonometrie \| Econometrics \| Software \| Anwendung \| Statistik

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Extent:	1 Online-Ressource (XXV, 555 p. 313 illus., 143 illus. in color.)
Series:	Springer Texts in Business and Economics
Type of publication:	Book / Working Paper
Language:	English
ISBN:	978-3-031-78070-7 ; 978-3-031-78069-1 ; 978-3-031-78071-4 ; 978-3-031-78072-1
Other identifiers:	10.1007/978-3-031-78070-7 [DOI]
Classification:	Methoden und Techniken der Volkswirtschaft ; Methoden und Techniken der Betriebswirtschaft
Source:	ECONIS - Online Catalogue of the ZBW

Persistent link: https://www.econbiz.de/10015328660