Bootstrapping

Felix Bittmann

Published by De Gruyter 2021

Bootstrapping

An Integrated Approach with Python and Stata

Felix Bittmann

https://doi.org/10.1515/9783110693348

Overview
Contents

About this book

Bootstrapping is a conceptually simple statistical technique to increase the quality of estimates, conduct robustness checks and compute standard errors for virtually any statistic. This book provides an intelligible and compact introduction for students, scientists and practitioners. It not only gives a clear explanation of the underlying concepts but also demonstrates the application of bootstrapping using Python and Stata.

The content is highly accessible to beginners and requires only basic statistical knowledge.
Applied examples demonstrate the technique in action and provide code templates.

Author information

Felix Bittmann, University of Bamberg, Germany

Topics

Frontmatter Accessible Download PDF	I
Contents Accessible Download PDF	V
1 Basic statistical concepts Requires Authentication Accessible Download PDF	1
2 Bootstrapping Requires Authentication Accessible Download PDF	17
3 Confidence intervals Requires Authentication Accessible Download PDF	32
4 Hypothesis testing Requires Authentication Accessible Download PDF	49
5 Regression models Requires Authentication Accessible Download PDF	66
6 Applied programming examples Requires Authentication Accessible Download PDF	78
Bibliography Requires Authentication Accessible Download PDF	119

(Deutsch)

Language: English
Publisher: De Gruyter
Audience: Bachelor- and master students in Business, Economics and Social Science.
Pages
- Front matter: 8
- Main content: 120
Illustrations
- Illustrations: 24
- Coloured Illustrations: 4
- Tables: 15
Keywords: Bootstrapping; Resampling; Computational Statistics; Variance Estimation Methods

eBook

Published: April 19, 2021
ISBN: 9783110693348

Paperback

Published: April 19, 2021
ISBN: 9783110694406