Bootstrap and Jackknife
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Bootstrap and Jackknife
Two methodologies that estimate bias and standard errors for statistical estimates
-
- 0 Rating
- 0 Reviews
- 7 Students Enrolled
Requirements
- Math
General Overview
Description
Bootstrap and Jackknife methods are part of the broader family of resampling techniques that help estimate the properties of estimators without relying heavily on parametric assumptions. In these course, students will learn the basic ideas behind the methods as well as the codes for application.
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Meet the instructors !
About the Instructor
Phd in Sun Yat-sen University visiting Phd in Humboldt University of Berlin