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

See my original video on GLMS here: https://youtu.be/1IbQaBRYt0s

Probability density functions: https://youtu.be/RoHV783WsD4

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

Nested versus non-nested models: https://youtu.be/wavmEfzJXqw

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: https://www.youtube.com/playlist?list=PL8F480DgtpW9W-PEX0f2gHl8SnQ7PtKBv

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

Видео Understanding Generalized Linear Models (Logistic, Poisson, etc.) канала Quant Psych