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Quality and Reliability Methods - SAS

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290 Degradation Chapter 16<br />

Inverse Prediction<br />

• The Generate Report for Current Model button creates a report for the current model settings. See<br />

“Model Reports” on page 296.<br />

The optimization method menu provides three choices for the optimization method (Newton,<br />

QuasiNewton BFGS, <strong>and</strong> QuasiNewton SR1). For details about the methods, see the Nonlinear Regression<br />

chapter of the Modeling <strong>and</strong> Multivariate <strong>Methods</strong> book.<br />

The initial parameter values are shown at the bottom, along with sliders for visualizing how changes in the<br />

parameters affect the model. To do so, first select Graph Options > Show Fitted Lines from the platform<br />

red-triangle menu to show the fitted lines on the plot. Then move the parameter sliders to see how changes<br />

affect the fitted lines. To compute the optimal values for the parameters, click the Fit Model or<br />

Fit by System ID button.<br />

To fix a value for a parameter, check the box under Fixed for the parameter. When fixed, that parameter is<br />

held constant in the model fitting process.<br />

Entering a Model with the Formula Editor<br />

You can use the Formula Editor to enter a model. Click the Edit button to open the Formula Editor to enter<br />

parameters <strong>and</strong> the model. For details about entering parameters <strong>and</strong> formulas in the Formula Editor, see<br />

Using JMP.<br />

Figure 16.13 Alternate Model Specification Report<br />

Inverse Prediction<br />

Use the Inverse Prediction tab to predict the time when the Y variable will reach a specified value. These<br />

times are sometime called pseudo failure times. Figure 16.14 shows the Inverse Prediction tab.

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