Tip: If you find that the report window is too long, select Tabbed Report from the red triangle menu.
The Competing Cause report appears if you have assigned a Failure Cause column in the launch window. Use this report to analyze the competing causes to determine which causes are influential. For an example of this report, see Omit Competing Causes. For technical details, see Competing Cause Details.
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Click Update Model.

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Note: Customizations made to the competing cause model report in the Statistics outline might be lost if you change the model and click Update Model again.
where Fi(x) is the cumulative failure distribution for the ith cause and k is the total number of causes. The function Fi(x) is causespecific. It reflects the probability of failure due to cause i alone and does not account for other causes of failure.
The Cause Combination report lets you fit and compare different failure time distributions (Fi(x)) for the various causes. Different distributions are available based on selections that you have made in the launch window. Negative and zerofailure times are not allowed.
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Fits of cumulative failure distributions (Fi(x)) to each of the causes. The initial distribution is the one that you selected in the launch window. If you selected Individual Best, the best distribution is computed for each group and these fits are shown. (This selection can be timeintensive.) If you selected Manual Pick, the initial Distribution is Nonparametric for all groups and nonparametric fits are shown. A legend appears to the right of the plot.

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The Aggregated cumulative failure distribution, F(x), represented by a black line. This function is computed based on the selected cause distribution.

Select the probability scale for the plot’s vertical axis. If a distribution fits well, then the points should follow a straight line when plotted on that scale. Change the Scale illustrates how changing the scale affects the distribution fit.
Check a box to remove the fit for the corresponding cause. Use this when a particular cause has been fixed. The Aggregated model updates to reflect the removal of the failures due to that cause. Omit Competing Causes illustrates the effect of omitting causes.
Lists the available distributions for each cause. To change the distribution for a specific failure cause, select the distribution from the Distribution list. Click Update Model to show the new distribution fit on the plot. The Cause Summary report is also updated.
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The scale column specifies scale parameters for various distributions. The Weibull α and Weibull β columns show Weibull estimates of alpha and beta.

The Distribution, Quantile, Hazard, and Density profilers help you visualize the aggregated failure distribution. The Distribution, Quantile, and Hazard profilers show 95% level confidence bands. For further details, see Profilers.
Each Life Distribution  Failure Cause <Distribution Name> report is a Life Distribution: Statistics report as described in Life Distribution: Statistics. However, all confidence intervals are Wald intervals. These intervals are not affected by the selection of Likelihood as the Confidence Interval Method in the launch window.
Note: If you have disallowed any distributions in Preferences, these do not appear. Also, rules that govern which distributions appear for Life Distribution apply. See Available Parametric Distributions.
Shows or hides data points in the Cause Combination plot. The Life Distribution platform uses the midpoint estimates of the step function to construct probability plots. When you deselect Show Points, the midpoint estimates are replaced by KaplanMeier estimates.
Shows the profiler for each individual cause subdistribution . See Individual Subdistribution Profiler for Cause.
To obtain a confidence interval, select the Configuration option from the Mean Remaining Life Calculator. Check Use bootstrap to construct confidence intervals. Enter appropriate values, keeping in mind that computation can be timeintensive. For details, see Mean Remaining Life Calculator.
Appears only when a Bayesian model is selected and when Update Model has been applied.
When Bayesian Estimates or Weibayes results are used for any cause, the confidence limits for aggregated functions that appear in the Distribution Profiler must be simulated using parametric bootstrap. Use this option to specify the number of samples to be used in the bootstrap. See Specify a Bayesian Model for a Cause.
For a given cause, the Individual Subdistribution Profiler for Cause shows the estimated probability of failure,, from that cause at time t. The estimated probability takes into account failures from competing causes. See Competing Cause Model.
To show a profiler of the subdistribution for each cause, select Show Subdistributions from the Competing Cause red triangle menu. The Individual Subdistribution Profiler for Cause report appears beneath the other profilers. It consists of a profiler and a calculator.
Note: When you select Show Subdistributions, the Cause Combination plot is updated to show the subdistribution functions for all causes.