Bootstrapping
An Integrated Approach with Python and Stata
1st Edition
Published on 19. April 2021
VIII, 120 pages
978-3-11-069334-8 (ISBN)
Description
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.
More details
Other editions
Additional editions
Book
04/2021
1st Edition
De Gruyter
€39.95
Shipment within 7-9 days
E-Book
04/2021
1st Edition
De Gruyter
€39.95
Available for download
Person
Felix Bittmann is a research assistant and PhD candidate at the Leibniz Institute for Educational Trajectories (Bamberg). He studied sociology and history in Freiburg (Breisgau) and Bamberg. His research interests are social inequality, education, quantitative methods and philosophy of science.
Content
- Intro
- Contents
- 1 Basic statistical concepts
- 2 Bootstrapping
- 3 Confidence intervals
- 4 Hypothesis testing
- 5 Regression models
- 6 Applied programming examples
- Bibliography
