Model Reports | JMP 12

JMP Support 800.450.0135 (US)

Documentation Feedback
Your feedback is important to us. us any comments about our documentation.

Reliability and Survival Methods • Degradation • Model Reports

•

When the Generate Report for Current Model button is clicked, summary reports are added in two places:

•	An entry is added to the Model List report. Refer to Model Lists for more details.

•	An entry is added to the Reports report. Refer to Reports for more details.

The Model List report gives summary statistics and other options for every fitted model. Model List shows an example of the Model List with summaries for three models. Model List Report gives information about the Model List report.

Model List Report
Feature	Description
Display	Select the model that you want represented in the Overlay plot, Residual Plot, Inverse Prediction plot, and Prediction Graph.
Model Type	Gives the type of path, either linear or nonlinear.
Report	Select the check boxes to display the report for a model. For more details about the reports, refer to Reports.
Nparm	Gives the number of parameters estimated for the model.
-2LogLikelihood	Gives -2xloglikelihood. See Fitting Linear Models.
AICc	Gives the corrected Akaike Criterion. See Fitting Linear Models.
BIC	Gives the Bayesian Information Criterion. See Fitting Linear Models.
SSE	Gives the error sums-of-squares for the model.
DF	Gives the error degrees-of-freedom.
Description	Gives a description of the model.

The Reports report gives details about each model fit. The report includes a Model Summary report, and an Estimate report.

Model Summary Report
Feature	Description
<Y, Response> Scale	Gives the transformation on the response variable.
<Time> Scale	Gives the transformation on the time variable.
SSE	Gives the error sums-of-squares.
Nparm	Gives the number of parameters estimated for the model.
DF	Gives the error degrees-of-freedom.
RSquare	Gives the r-square.
MSE	Gives the mean square error.

Estimate Report
Feature	Description
Parameter	Gives the name of the parameter.
Estimate	Gives the estimate of the parameter.
Std Error	Gives the standard error of the parameter estimate.
t Ratio	Gives the t statistic for the parameter, computed as Estimate/Std Error.
Prob>\|t\|	Gives the p-value for a two-sided test for the parameter.