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Highlights
- Bootstrapping is a conceptually simple statistical technique to increase the quality of estimates, conduct robustness checks and compute standard errors for virtually any statistic.
- About the Author: Felix Bittmann is a research assistant and PhD candidate at the Leibniz Institute for Educational Trajectories (Bamberg).
- 128 Pages
- Business + Money Management, Statistics
Description
About the Book
Bootstrapping is a quite simple statistical technique that can be applied to almost all quantitative methods. The idea is more than 40 years old and well known to statisticians, however relatively unknown to practitioners of the social sciences. TheBook Synopsis
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.
About the Author
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.
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