Pretty much all of the common statistical models we use, with the exception of OLS Linear Models, use Maximum Likelihood estimation.
This includes favorites like:
- All Generalized Linear Models, including logistic, probit, beta, Poisson, negative binomial regression
- Linear Mixed Models
- Generalized Linear Mixed Models
- Parametric Survival Analysis models, like Weibull models
- Structural Equation Models
That’s a lot of models.
If you’ve ever learned any of these, you’ve heard that some of the statistics that compare model fit in competing models require (more…)