Understanding Generalized Linear Models (Logistic, Poisson, etc.)

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See my original video on GLMS here:    • Become a generalized linear model nin...  

Probability density functions:    • Probability, Part 3: Probability Dens...  

Poisson does mean fish, but the distribution was named after a mathematician: https://en.wikipedia.org/wiki/Poisson...

Nested versus non-nested models:    • Model Comparisons in R  

Learning Objectives:
#1.Understand when to use GLMS
#2. Know the three components of a GLM
#3. Difference between transformation and a link function
#4. Know when to use logistic, poisson, gamma, etc.


This video is part of my multivariate playlist:    • Multivariate Statistics  

And here's a paper I wrote about my eight step approach to data analysis: https://psyarxiv.com/r8g7c/


Undergraduate curriculum playlist (GLM-based approach): https://www.youtube.com/playlist?list...
Graduate curriculum playlist (also GLM-based approach): https://www.youtube.com/playlist?list...
Exonerating EDA paper: https://psyarxiv.com/5vfq6/
Download JASP (and visual modeling module): www.jasp-stat.org