ٍStat 335

Generalized Linear Models (GLMs) are a flexible class of models that extend linear regression to accommodate response variables that have error distribution models other than a normal distribution. They are widely used in statistical modeling and machine learning for analyzing relationships between variables when the assumptions of ordinary linear regression are not met.