I2 Likelihood (part 3/3) Maximum likelihood estimators (MLEs)

Maximum likelihood estimators (MLEs) are statistics obtained by maximizing the likelihood. MLEs are derived, shown graphically, and obtained numerically for binomial and normal models

Probability playlist: https://www.youtube.com/playlist?list=PLFHD4aOUZFp1FxJs9BG5Sbsy6NvCO3Qb1 Statistics playlist: https://www.youtube.com/playlist?list=PLFHD4aOUZFp1PZC6SgtuS-ESq4ti1GEFj

I02 - Likelihood: part 1: https://youtu.be/5KnJ-uVaoLE part 2: https://youtu.be/m7I7baoDuuo

STAT 587: https://www.jarad.me/courses/stat587Eng/ STAT 587 Videos: https://www.jarad.me/courses/stat587Eng/slides/ Slides: https://www.jarad.me/courses/stat587Eng/slides/Inference/I02-Likelihood/I02-Likelihood.pdf

00:30 - Maximum likelihood estimator (MLE) 01:40 - Binomial MLE - derivation 03:35 - Binomial MLE - graphically 04:20 - Binomial MLE - numerical maximization 06:40 - Normal MLE - derivation 08:01 - Normal MLE - numerical maximization 09:15 - Normal MLE - graphically 09:46 - Summary

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