The HPSEVERITY Procedure
- Overview
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Getting Started
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Syntax
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DetailsPredefined DistributionsCensoring and TruncationParameter Estimation MethodDetails of Optimization AlgorithmsParameter InitializationEstimating Regression EffectsEmpirical Distribution Function Estimation MethodsStatistics of FitDistributed and Multithreaded ComputationDefining a Severity Distribution Model with the FCMP ProcedurePredefined Utility FunctionsCustom Objective FunctionsInput Data SetsOutput Data SetsDisplayed Output
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ExamplesDefining a Model for Gaussian DistributionDefining a Model for the Gaussian Distribution with a Scale ParameterDefining a Model for Mixed-Tail DistributionsFitting a Scaled Tweedie Model with RegressorsFitting Distributions to Interval-Censored DataBenefits of Distributed and Multithreaded ComputingEstimating Parameters Using Cramér-von Mises Estimator
- References
- 5.1 Defining a Model for Gaussian Distribution
- 5.2 Defining a Model for the Gaussian Distribution with a Scale Parameter
- 5.3 Defining a Model for Mixed-Tail Distributions
- 5.4 Fitting a Scaled Tweedie Model with Regressors
- 5.5 Fitting Distributions to Interval-Censored Data
- 5.6 Benefits of Distributed and Multithreaded Computing
- 5.7 Estimating Parameters Using Cramér-von Mises Estimator