Thomas Haslwanter
School of Applied Health and Social Sciences
University of Applied Sciences Upper Austria
Linz, Austria
Series Editor:
W.K. Härdle
C.A.S.E. Centre for Applied
Statistics and Economics
School of Business and Economics
Humboldt-Universität zu Berlin
Unter den Linden 6
10099 Berlin
Germany
The Python code samples accompanying the book are available at www.quantlet.de.
All Python programs and data sets can be found on GitHub: https://github.com/thomas-
haslwanter/statsintro_python.git. Links to all material are available at http://www.springer.
com/de/book/9783319283159.
The Python solution codes in the appendix are published under the Creative Commons
Attribution-ShareAlike 4.0 International License.
ISSN 1431-8784 ISSN 2197-1706 (electronic)
Statistics and Computing
ISBN 978-3-319-28315-9 ISBN 978-3-319-28316-6 (eBook)
DOI 10.1007/978-3-319-28316-6
Library of Congress Control Number: 2016939946
© Springer International Publishing Switzerland 2016
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