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Bootstrapping: An Integrated Approach with Python and Stata


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Author:
Felix Bittmann
Publisher: De Gruyter
Copyright: 2021
ISBN-13: 978-3-1106-9440-6
Pages: 120; paperback
Author:
Felix Bittmann
Publisher: De Gruyter
Copyright: 2021
ISBN-13:
Pages: 120; eBook
Author:
Felix Bittmann
Publisher: De Gruyter
Copyright: 2021
ISBN-13:
Pages: 120; Kindle

Comment from the Stata technical group

Bootstrapping: An Integrated Approach with Python and Stata, by Felix Bittmann, is a great resource for students and researchers who want to learn and apply bootstrap methods.

The text begins with a clear introduction to foundational statistics on which bootstrapping methods rely. Bittmann then walks users through the logic behind bootstrapping as well as the process. The book includes discussion of confidence intervals and hypothisis testing as well as a chapter focused on bootstrap considerations related to regression models.

The final chapter demonstrates how researchers can perform bootstrapping using Stata and Python. Examples range from straightforward use of Stata's bootstrap prefix and vce(boostrap) option to more advanced techniques such as writing a program for resampling residuals. With this knowledge, readers will be ready to apply bootstrapping in their own analyses using Stata.

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