Covers thoroughly all necessary topics for introductory statistics courses
Guides students to a deeper understanding of statistical methods through diverse examples
Provides interactive real data examples for independent study via the enhanced online version
Includes supplementary material: sn.pub/extras
This is a preview of subscription content, access via your institution.
Table of contents (12 chapters)
About this book
This book covers all the topics found in introductory descriptive statistics courses, including simple linear regression and time series analysis, the fundamentals of inferential statistics (probability theory, random sampling and estimation theory), and inferential statistics itself (confidence intervals, testing).
Each chapter starts with the necessary theoretical background, which is followed by a variety of examples. The core examples are based on the content of the respective chapter, while the advanced examples, designed to deepen students’ knowledge, also draw on information and material from previous chapters.
The enhanced online version helps students grasp the complexity and the practical relevance of statistical analysis through interactive examples and is suitable for undergraduate and graduate students taking their first statistics courses, as well as for undergraduate students in non-mathematical fields, e.g. economics, the social sciences etc.
- Descriptive Statistics
- Inferential Statistics
- Probability Theory
- Sampling Theory
- Statistical Tests
Authors and Affiliations
Humboldt-Universität zu Berlin, C.A.S.E. Centre f. Appl. Stat. & Econ., School of Business and Economics, Humboldt-Universität zu Berlin, Berlin, Germany
Wolfgang Karl Härdle
Ladislaus von Bortkiewicz Chair of Statistics, Humboldt-Universität zu Berlin, Berlin, Germany
Department of Economics Inst.for Statsitics and Econometrics, Humboldt-Universität zu Berlin, Berlin, Germany
About the authors
Wolfgang Karl Härdle is the Ladislaus von Bortkiewicz Professor of Statistics at the Humboldt-Universität zu Berlin and director of C.A.S.E. (Center for Applied Statistics and Economics), director of the CRC-649 (Collaborative Research Center) “Economic Risk” and director of the IRTG 1792 “High Dimensional Non-stationary Time Series”. He teaches quantitative finance and semi-parametric statistics. His research focuses on dynamic factor models, multivariate statistics in finance and computational statistics. He is an elected member of the ISI (International Statistical Institute) and advisor to the Guanghua School of Management, Peking University and a senior fellow of Sim Kee Boon Institute of Financial Economics at the Singapore Management University.
Sigbert Klinke is a postdoctoral research fellow at the Ladislaus von Bortkiewicz Chair of Statistics at Humboldt-Universität zu Berlin. He received his PhD in computational statistics from the Catholique University in Louvain-la-Neuve, Belgium. He teaches introductory statistics courses and data analytical courses for bachelor and master students in Economics and Educational Science at Humboldt-Universität zu Berlin’s School of Business and Economics. His research focuses on computational and multivariate statistics and the teaching of statistics.
Bernd Rönz was a Professor of Statistics at the Institute for Statistics and Econometrics, School of Business and Economics, Humboldt University, Berlin. He taught Statistics, Computational Statistics and Generalized Linear Models. His research focused on multivariate statistics, computational statistics and generalized linear models. He previously worked as Associate Professor of Quantitative Methods for Business Decisions at the University of Dar es Salaam, Tanzania for more than two years. Furthermore, he was a Visiting Lecturer at Hosei-University Tokyo and Ritsumeikan-University Kyoto and a Visiting Fellow at the Centre for Mathematics and its Applications, School of Mathematical Sciences, The Australian National University, Canberra. He retired in 2006.
Book Title: Introduction to Statistics
Book Subtitle: Using Interactive MM*Stat Elements
Authors: Wolfgang Karl Härdle, Sigbert Klinke, Bernd Rönz
Publisher: Springer Cham
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer Nature Switzerland AG 2015
Hardcover ISBN: 978-3-319-17703-8Published: 06 January 2016
Softcover ISBN: 978-3-319-79237-8Published: 30 March 2018
eBook ISBN: 978-3-319-17704-5Published: 25 December 2015
Edition Number: 1
Number of Pages: XX, 516
Number of Illustrations: 32 b/w illustrations, 173 illustrations in colour
Additional Information: Originally published in German with the title: MM*Stat - Eine interaktive Einführung in die Welt der Statistik
Topics: Statistics in Business, Management, Economics, Finance, Insurance, Statistics in Social Sciences, Humanities, Law, Education, Behavorial Sciences, Public Policy, Probability and Statistics in Computer Science, Biostatistics, Statistics and Computing