This is a lecture on maximum likelihood estimation for my PSYC 5316: Advanced Quantitative Methods course. We use some R functions to compute MLEs to fit data with a binomial model, a normal model, and an ex-Gaussian model. The discussion is decidedly nontechnical...the goal is to develop intuition and some "how-to" skills with R.
Data links (in case git.io links expire):
Example 2: https://raw.githubusercontent.com/tom...
Example 3: https://raw.githubusercontent.com/tom...
Lecture notes: https://raw.githack.com/tomfaulkenber...
(my apologies for the video and audio getting out of sync at around 22:30...not sure what happened!)