The data you gather for parametric and nonparametric growth curves are the failure times for a repairable system. For example, an automobile breaks down, is repaired and put back into service, then breaks down again, etc. The data points represent the time of each failure without taking into account the repair time. In other words, the analysis is done as if the system instantaneously works again after failing.
This table describes the types of observations you can have.
Type of observation |
Description |
Example |
Exact data |
You know exactly when each failure occurred |
The engine failed at exactly 500 days, was repaired, then failed at 825 days |
Interval data |
You only know that each failure occurred between two particular times |
The engine failed sometime between 475 and 500 days, was repaired, and then failed again sometime between 675 and 725 days |
How you set up your worksheet depends, in part, on the type of data you have:
Note |
Stack the system failure time data together if you believe that the rate of failures are identical, as in the case of identical manufacturing processes. Remember to include a system column in this case. |