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 gi...
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| Superior document: | Title is part of eBook package: De Gruyter DG Ebook Package English 2021 |
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| VerfasserIn: | |
| Place / Publishing House: | Berlin ;, Boston : : De Gruyter, , [2021] ©2021 |
| Year of Publication: | 2021 |
| Language: | English |
| Online Access: | |
| Physical Description: | 1 online resource (VIII, 120 p.) |
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| Other title: | Frontmatter -- Contents -- 1 Basic statistical concepts -- 2 Bootstrapping -- 3 Confidence intervals -- 4 Hypothesis testing -- 5 Regression models -- 6 Applied programming examples -- Bibliography |
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| Summary: | 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. |
| Format: | Mode of access: Internet via World Wide Web. |
| ISBN: | 9783110693348 9783110750720 9783110750706 9783110754049 9783110754001 9783110753776 9783110753820 |
| DOI: | 10.1515/9783110693348 |
| Access: | restricted access |
| Hierarchical level: | Monograph |
| Statement of Responsibility: | Felix Bittmann. |