- Review of Cumulative Empirical Distribution Function
- Boostrap Algorithm and Bootstrap Sampling distribution
- Basic Bootstrap algorithm
- Bootstrap sampling distribution of a statistic
- Bootstrap estimation of distribution
- Bootstrap Confidence Interval
- Bootstrap normal confidence interval
- BBootstrap percentile confidence interval
- Bias corrected and accelerated Bootstrap confidence interval
- Bootstrap t-confidence interval
- Likelihood-based Bootstrap confidence interval
- Notes and code
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- Optional Reading Assignments
- Davidson and Hinkley's classic book: Bootstrap Methods and their Application published by Cambridge Univ. Press (1997)(You may want to find a PDF version of the book from internet or access it through WCU's library)
- A usingful R Book: An introduction to bootstrap methods with applications to R, published by Wiley (2011). You access it through WCU's library.
- Three Built-in R Functions
sample(), boot(), boot.ci()
- Written Assignment
- Guidelines
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- Due:Tuesday, 3/31/2026 at 11:59 PM
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