and nonlinear models are examples of parametric regression models because we know the function that describes the relationship between the response and explanatory variables. In many situations, that ...

In this module, we will consider how to model count data. When the response variable is a count of some phenomenon, and when that count is thought to depend on a set of predictors, we can use Poisson ...

The RSREG procedure fits a quadratic response-surface model, which is useful in searching for factor values that optimize a response. The following features in PROC RSREG make it preferable to other ...