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Bootstrapping Statistics and Bootstrapping in R

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Overview

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This course introduces bootstrap and permutation resampling as alternatives to large-sample methods for estimating sampling distributions and standard errors. It demonstrates bootstrap hypothesis tests and confidence intervals in R without a package, using examples and datasets.

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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