Quality and Reliability Methods - SAS

Chapter 20 Reliability and Survival Analysis II 379
Options and Reports
Estimate Survival Probability brings up a dialog where you specify regressor values and one or more
time values. JMP then calculates the survival and failure probabilities with 95% confidence limits for all
possible combinations of the entries.
Estimate Time Quantile brings up a dialog where you specify regressor values and one or more survival
values. It then calculates the time quantiles and 95% confidence limits for all possible combinations of
the entries.
Residual Quantile Plot shows a plot with the residuals on the x-axis and the Kaplan-Meier estimated
quantiles on the y-axis. In cases of interval censoring, the midpoint is used. The residuals are the simplest
form of Cox-Snell residuals, which convert event times to a censored standard Weibull or other standard
distribution.
Save Residuals
creates a new column to hold the residuals.
Distribution Profiler displays the response surfaces of the failure probability versus individual explanatory
and response variables. The vertical line on each plot can be dragged to change the value on the x-axis.
Corresponding y-axis values show the estimated failure probability values based on the selected
distribution. As with profilers in other platforms, one or more factors might be locked while varying the
vertical line on all remaining factors. To lock a factor, move the vertical line to the desired value and
Alt-click inside the plot. Then, check the box beside Lock Factor Setting in the popup dialog box.
Quantile Profiler displays the response surfaces of the response variable versus the explanatory and the
failure probability. The vertical line on each plot can be dragged to change the value on the x-axis.
Corresponding y-axis values show the estimated response variable values based on the selected
distribution. This response option enables you to assess the response at varying quantiles.
Distribution Plot by Level Combinations shows or hides three probability plots for assessing model fit.
The plots show different lines for each combination of the X levels.
Separate Location shows a probability plot assuming equal scale parameters and separate location
parameters. This is useful for assessing the parallelism assumption.
Separate Location and Scale shows a probability plot assuming different scale and location
parameters. This is useful for assessing if the distribution is adequate for the data. This plot is not shown
for the Exponential distribution.
Regression shows a probability plot for which the distribution parameters are functions of the X
variables.
Save Probability Formula
saves the estimated probability formula to a new column in the data table.
Save Quantile Formula saves the estimated quantile formula to a new column in the data table. Selecting
this option displays a popup dialog, asking you to enter a probability value for the quantile of interest.