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Introduction to Statistics

Using Interactive MM*Stat Elements

Authors: Härdle, Wolfgang Karl, Klinke, Sigbert, Rönz, Bernd

  • ​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
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Buy this book

eBook $39.99
price for USA (gross)
  • ISBN 978-3-319-17704-5
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $59.99
price for USA
  • ISBN 978-3-319-17703-8
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
About this Textbook

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. 

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 Uni

versity 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 f

or Mathematics and its Applications, School of Mathematical Sciences, The Australian National University, Canberra. He retired in 2006.

Reviews

“The book is meant for undergraduate and graduate students taking their first statistics courses, as well as for undergraduate students in non-mathematical fields. … The book includes many examples with explanations. … This book will be useful for statistics students.” (S. V. Nagaraj, Computing Reviews, November, 2016)


Video

Table of contents (12 chapters)

  • Basics

    Härdle, Wolfgang Karl (et al.)

    Pages 1-19

  • One-Dimensional Frequency Distributions

    Härdle, Wolfgang Karl (et al.)

    Pages 21-68

  • Probability Theory

    Härdle, Wolfgang Karl (et al.)

    Pages 69-96

  • Combinatorics

    Härdle, Wolfgang Karl (et al.)

    Pages 97-106

  • Random Variables

    Härdle, Wolfgang Karl (et al.)

    Pages 107-148

Buy this book

eBook $39.99
price for USA (gross)
  • ISBN 978-3-319-17704-5
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $59.99
price for USA
  • ISBN 978-3-319-17703-8
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Introduction to Statistics
Book Subtitle
Using Interactive MM*Stat Elements
Authors
Copyright
2015
Publisher
Springer International Publishing
Copyright Holder
The Editor(s) (if applicable) and The Author(s) 2018
eBook ISBN
978-3-319-17704-5
DOI
10.1007/978-3-319-17704-5
Hardcover ISBN
978-3-319-17703-8
Edition Number
1
Number of Pages
XX, 516
Number of Illustrations and Tables
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