HPSEVERITY Procedure OverviewGetting StartedSyntaxDetailsExamplesReferences Examples: HPSEVERITY Procedure Subsections: 21.1 Defining a Model for Gaussian Distribution 21.2 Defining a Model for the Gaussian Distribution with a Scale Parameter 21.3 Defining a Model for Mixed-Tail Distributions 21.4 Fitting a Scaled Tweedie Model with Regressors 21.5 Fitting Distributions to Interval-Censored Data 21.6 Benefits of Multithreaded Computing 21.7 Estimating Parameters Using the Cramér–von Mises Estimator 21.8 Defining a Finite Mixture Model That Has a Scale Parameter 21.9 Predicting Mean and Value-at-Risk by Using Scoring Functions 21.10 Scale Regression with Rich Regression Effects Last updated: June 19, 2025