Bootstrapping : an integrated approach with Python and Stata

Felix Bittmann

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

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Year of publication:	[2021]
Authors:	Bittmann, Felix
Publisher:	Berlin : De Gruyter Oldenbourg
Subject:	Bootstrap-Verfahren \| Bootstrap approach \| Programmiersprache \| Programming language \| Theorie \| Theory \| Bootstrap-Statistik \| Stata \| Python <Programmiersprache>
Description of contents:	Frontmatter -- Contents -- 1 Basic statistical concepts -- 2 Bootstrapping -- 3 Confidence intervals -- 4 Hypothesis testing -- 5 Regression models -- 6 Applied programming examples -- Bibliography Table of Contents [gbv.de] ; Description [degruyter.com] ; Description [degruyter.com]

Extent:	1 Online-Ressource (VIII, 120 Seiten)
Type of publication:	Book / Working Paper
Language:	English
Notes:	Mode of access: Internet via World Wide Web In English
ISBN:	978-3-11-069334-8 ; 978-3-11-069337-9 ; 978-3-11-069440-6
Other identifiers:	10.1515/9783110693348 [DOI]
Source:	ECONIS - Online Catalogue of the ZBW

Persistent link: https://www.econbiz.de/10014550531