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BY Statement
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The SEVERITY Procedure

  • Overview
  • Getting Started Getting Started
    A Simple Example of Fitting Predefined Distributions An Example with Left-Truncation and Right-Censoring An Example of Modeling Regression Effects
  • Syntax Procedure Syntax
    Functional Summary PROC SEVERITY Statement BY Statement LOSS Statement WEIGHT Statement SCALEMODEL Statement DIST Statement NLOPTIONS Statement Programming Statements
  • Details Procedure Details
    Predefined Distributions Censoring and Truncation Parameter Estimation Method Parameter Initialization Estimating Regression Effects Empirical Distribution Function Estimation Methods Statistics of Fit Defining a Distribution Model with the FCMP Procedure Predefined Utility Functions Custom Objective Functions Input Data Sets Output Data Sets Displayed Output ODS Graphics
  • Examples Procedure Examples
    Defining a Model for Gaussian Distribution Defining a Model for Gaussian Distribution with a Scale Parameter Defining a Model for Mixed-Tail Distributions Estimating Parameters Using Cramér-von Mises Estimator Fitting a Scaled Tweedie Model with Regressors Fitting Distributions to Interval-Censored Data
  • References
 
BY Statement

A BY statement can be used in the SEVERITY procedure to process the input data set in groups of observations defined by the BY variables.

When a BY statement appears, the procedure expects the input data set to be sorted in the order of the BY variables.

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