The Table of Predicted Number of Failures displays information about the potential and predicted number of failures for future times:
The potential number of failures at a future time period is the number of units at risk at the end of the data collection period (the "present: time") plus the cumulative number of additional units that will ship in each subsequent time period.
The predicted number of failures is the cumulative number of failures that the model predicts from the end of the data collection period (the "present time") through the given number of future time periods.
The 95% Poisson confidence interval is a 95% confidence interval for the predicted number of failures.
Example output
Table of Predicted Number of Failures
Future Time Period
Potential Number of Failures
Predicted Number of Failures
95% Poisson CI
Lower
Upper
1
12931
13.1073
7.0000
22.3660
2
13931
27.4930
18.1933
39.8678
3
14931
43.1798
31.2722
58.1271
4
15931
60.1892
45.9516
77.4449
5
16931
78.5416
62.1373
97.9488
Interpretation
Five months from now, 16,931 units will be at risk. With 95% confidence, the engineer can expect the number of failures to fall between approximately 62 and 98.