Learn about bootstrap confidence intervals in this 30-minute lecture covering the rationale behind bootstrapping, its application to single mean estimation, general bootstrapping steps, confidence intervals for differences between two means and regression coefficients, and key characteristics of bootstrap distributions.
Overview
Syllabus
1. Why Bootstrap?.
2. Bootstrap for One Mean.
3. General Steps to Bootstrap.
4. Bootstrap Confidence Intervals for a Difference in Two Means.
5. Bootstrap Confidence Intervals for Regression Coefficients.
6. Characteristics of the Bootstrap Distribution.
Taught by
Professor Knudson
