https://github.com/rbhatia46/confidence-interval-using-bootstrapping
Computing the confidence intervals using Bootstrapping. It is very useful when we have to compute the confidence interval for any other statistic apart from mean(where CLT can be used) given we dont know anything about the underlying distribution of the data.
https://github.com/rbhatia46/confidence-interval-using-bootstrapping
Last synced: 7 months ago
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Computing the confidence intervals using Bootstrapping. It is very useful when we have to compute the confidence interval for any other statistic apart from mean(where CLT can be used) given we dont know anything about the underlying distribution of the data.
- Host: GitHub
- URL: https://github.com/rbhatia46/confidence-interval-using-bootstrapping
- Owner: rbhatia46
- Created: 2021-09-05T18:55:59.000Z (about 4 years ago)
- Default Branch: main
- Last Pushed: 2021-09-05T18:58:36.000Z (about 4 years ago)
- Last Synced: 2025-01-24T18:37:07.547Z (9 months ago)
- Language: Jupyter Notebook
- Size: 5.86 KB
- Stars: 1
- Watchers: 3
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# Confidence-Interval-Using-Bootstrapping
Computing the confidence intervals using Bootstrapping. It is very useful when we have to compute the confidence interval for any other statistic(median, std-dev, 95th percentile, etc.) apart from mean(where CLT can be used) given we dont know anything about the underlying distribution of the data.