👉 Gl engineering, or Generalized Linear Engineering, is a statistical methodology that extends traditional linear regression models to handle a broader range of data types and distributions. It encompasses various techniques, such as Generalized Linear Models (GLMs), which allow for modeling non-normal response variables by incorporating a link function that connects the linear predictor to the mean of the response variable. This approach enables the use of different distributions (e.g., binomial, Poisson) and link functions, making it suitable for modeling outcomes like binary data, count data, and continuous data with non-normal distributions. By doing so, Gl engineering provides a flexible framework for predictive modeling and inference in diverse fields, including finance, healthcare, and social sciences.
