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See my original video on GLMS here: • Become a generalized l...
Probability density functions: • Probability, Part 3: P...
Poisson does mean fish, but the distribution was named after a mathematician: 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: psyarxiv.com/r8g7c/
Undergraduate curriculum playlist (GLM-based approach): kzitem.info?list...
Graduate curriculum playlist (also GLM-based approach): kzitem.info?list...
Exonerating EDA paper: psyarxiv.com/5vfq6/
Download JASP (and visual modeling module): www.jasp-stat.org
Негізгі бет Understanding Generalized Linear Models (Logistic, Poisson, etc.)
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