Embedded Files
The generalized linear model (GZLM) is a flexible generalization of ordinary linear regression that allows for response variables that have error distribution models other than a normal distribution.
The generalized linear model (GZLM) is a flexible generalization of ordinary linear regression that allows for response variables that have error distribution models other than a normal distribution.
The GZLM generalizes linear regression by allowing the linear model to be related to the response variable via a link function and by allowing the magnitude of the variance of each measurement to be a function of its predicted value.
The GZLM generalizes linear regression by allowing the linear model to be related to the response variable via a link function and by allowing the magnitude of the variance of each measurement to be a function of its predicted value.
Data2Decision- Generalized Linear Modeling (18:58)
Data2Decision- Generalized Linear Modeling (18:58)
Actuarial Education- Introduction to generalised linear models (7:36)
Actuarial Education- Introduction to generalised linear models (7:36)
StatQuest: Maximum Likelihood (6:11)
StatQuest: Maximum Likelihood (6:11)
Professor Knudson- Maximum Likelihood Estimation Basics (6:32)
Professor Knudson- Maximum Likelihood Estimation Basics (6:32)
R<-Psychologist: Understanding Maximum Likelihood- An Interactive Visualization
R<-Psychologist: Understanding Maximum Likelihood- An Interactive Visualization
Report abuse