Weibull++ Non-Parametric LDA Plot Example
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This example demonstrates how to use the Weibull++ non-parametric life data analysis (LDA) folio.
Assume we have the following data.
| Number in State | State F or S | State End Time |
| 3 | F | 9 |
| 1 | S | 9 |
| 1 | F | 11 |
| 1 | S | 12 |
| 1 | F | 13 |
| 1 | S | 13 |
| 1 | S | 15 |
| 1 | F | 17 |
| 1 | F | 21 |
| 1 | S | 22 |
| 1 | S | 24 |
| 1 | S | 26 |
| 1 | F | 28 |
| 1 | F | 30 |
| 1 | S | 32 |
| 2 | S | 35 |
| 1 | S | 39 |
| 1 | S | 41 |
Analyze the data set using the Kaplan-Meier method.
Solution
Enter the data in a non-parametric LDA folio. On the folio's control panel, enter a confidence level, as shown next.
The following plot shows the results, where the reliability at each failure time is calculated and plotted, along with the confidence bounds.
Because the analysis uses a non-parametric method, only the reliability at the observed failure times can be calculated. Non-parametric methods cannot be used for extrapolation and interpolation.
The following report shows the estimated reliability values and the associated confidence bounds.
