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Quality and Reliability Methods - SAS

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382 <strong>Reliability</strong> <strong>and</strong> Survival Analysis II Chapter 20<br />

Options <strong>and</strong> Reports<br />

Figure 20.9 Bivariate Plot of Hours by log Temp<br />

Use the univariate survival platform to produce a LogNormal plot of the data for each temperature. To do<br />

so, select Analyze > <strong>Reliability</strong> <strong>and</strong> Survival > Survival. Assign Hours to Y, Time to Event, Censor to<br />

Censor, Temp to Grouping, <strong>and</strong> Weight to Freq. From the resulting report, click on the red-triangle menu<br />

of the Product-Limit Survival Fit title bar <strong>and</strong> select LogNormal Plot <strong>and</strong> LogNormal Fit. Alternatively, run<br />

the Survival script attached to the data table. Either method produces the plot shown in Figure 20.10.<br />

Figure 20.10 Lognormal Plot<br />

Then, fit one model using a regressor for temperature. The regressor x is the Arrhenius transformation of<br />

temperature calculated by the formula stored in the x column of the data table:

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