The SEVERITY Procedure |
Displayed Output |
The SEVERITY procedure optionally produces displayed output by using the Output Delivery System (ODS). By default, the procedure produces no displayed output. All output is controlled by the PRINT= option in the PROC SEVERITY statement. Table 22.5 relates the PRINT= options to ODS tables.
ODS Table Name |
Description |
Option |
---|---|---|
DescStats |
Descriptive statistics for the response variable |
PRINT=DESCSTATS |
RegDescStats |
Descriptive statistics for the regressor variables |
PRINT=DESCSTATS |
ModelSelection |
Model selection summary |
PRINT=SELECTION |
AllFitStatistics |
Statistics of fit for all the distribution models |
PRINT=ALLFITSTATS |
InitialValues |
Initial parameter values and bounds |
PRINT=INITIALVALUES |
ConvergenceStatus |
Convergence status of parameter estimation process |
PRINT=CONVSTATUS |
IterationHistory |
Optimization iteration history |
PRINT=NLOHISTORY |
OptimizationSummary |
Optimization summary |
PRINT=NLOSUMMARY |
StatisticsOfFit |
Statistics of fit |
PRINT=STATISTICS |
ParameterEstimates |
Final parameter estimates |
PRINT=ESTIMATES |
displays the descriptive statistics for the response variable. If regressor variables are specified, a table with their descriptive statistics is also displayed.
displays the model selection table. The table shows the convergence status of each candidate model, and the value of the selection criterion along with an indication of the selected model.
displays the comparison of all the statistics of fit for all the models in one table. The table does not include the models whose parameter estimation process does not converge. If all the models fail to converge, then this table is not produced. If the table contains more than one model, then the best model according to each statistic is indicated with an asterisk (*) in that statistic’s column.
displays the initial values and bounds used for estimating each model.
displays the convergence status of the parameter estimation process.
displays the iteration history of the nonlinear optimization process used for estimating the parameters.
displays the summary of the nonlinear optimization process used for estimating the parameters.
displays the statistics of fit for each model. The statistics of fit are not displayed for models whose parameter estimation process does not converge.
displays the final estimates of parameters. The estimates are not displayed for models whose parameter estimation process does not converge.
Note: This procedure is experimental.
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