You construct a generalized linear model by deciding on response and explanatory variables for your data and choosing an appropriate link function and response probability distribution. Some examples ...

An equation is a statement with an equals sign, stating that two expressions are equal in value, for example \(3x + 5 = 11\) Solving an equation means finding the value or values for which the two ...

In generalized linear models, the response is assumed to possess a probability ... can be expressed as Standard theory for this type of distribution gives expressions for the mean and variance of Y.