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YouTube

Bootstrapping Statistics and Bootstrapping in R

via YouTube

Overview

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This course on bootstrapping in statistics and R teaches learners the concept of resampling to estimate sampling distribution and standard error of an estimate. By using examples and R scripts, participants will understand how to conduct bootstrapping without a package. The course covers topics such as bootstrapping hypothesis testing, bootstrapping confidence intervals, and permutation hypothesis testing. The intended audience for this course includes individuals interested in statistics, research, and R programming. The teaching method involves video tutorials with practical examples and downloadable datasets and scripts for hands-on practice.

Syllabus

Bootstrapping and Resampling in Statistics with Example| Statistics Tutorial #12 |MarinStatsLectures.
Bootstrap Hypothesis Testing in Statistics with Example |Statistics Tutorial #35 |MarinStatsLectures.
Bootstrap Hypothesis Testing in R with Example | R Video Tutorial 4.4 | MarinStatsLecutres.
Bootstrap Confidence Interval with Examples | Statistics Tutorial #36 | MarinStatsLectures.
Bootstrap Confidence Interval with R | R Video Tutorial 4.5 | MarinStatsLectures.
Permutation Hypothesis Testing with Example | Statistics Tutorial # 37 | MarinStatsLectures.
Permutation Hypothesis Test in R with Examples | R Tutorial 4.6 | MarinStatsLectures.
Bradley Efron: "The bootstrap is rarely the star of statistics, but it is the best supporting actor".

Taught by

MarinStatsLectures-R Programming & Statistics

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