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The SEVERITY Procedure
Overview
Getting Started
A Simple Example of Fitting Predefined Distributions
An Example with Left-Truncation and Right-Censoring
An Example of Modeling Regression Effects
Syntax
Functional Summary
PROC SEVERITY Statement
BY Statement
LOSS Statement
WEIGHT Statement
SCALEMODEL Statement
DIST Statement
NLOPTIONS Statement
Programming Statements
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
Multithreaded Computation
Input Data Sets
Output Data Sets
Displayed Output
ODS Graphics
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
Details: SEVERITY Procedure
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
Multithreaded Computation
Input Data Sets
Output Data Sets
Displayed Output
ODS Graphics
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