Grouped per Configuration - Lloyd-Lipow Model
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This example appears in the Reliability growth reference.
A 15-stage reliability development test program was performed. The grouped per configuration data set is shown in the following table. Do the following:
- Fit the Lloyd-Lipow model to the data using MLE.
- What is the maximum reliability attained as the number of test stages approaches infinity?
- What is the maximum achievable reliability with a 90% confidence level?
Stage, [math]\displaystyle{ k\,\! }[/math] | Number of Tests ([math]\displaystyle{ n_k\,\! }[/math]) | Number of Successes ([math]\displaystyle{ S_k\,\! }[/math]) |
---|---|---|
1 | 10 | 3 |
2 | 10 | 3 |
3 | 10 | 4 |
4 | 10 | 5 |
5 | 10 | 5 |
6 | 12 | 6 |
7 | 12 | 5 |
8 | 12 | 7 |
9 | 14 | 8 |
10 | 14 | 8 |
11 | 14 | 10 |
12 | 14 | 12 |
13 | 14 | 11 |
14 | 14 | 12 |
15 | 14 | 12 |
Solution
- The figure below displays the entered data and the estimated Lloyd-Lipow parameters.
- The maximum achievable reliability as the number of test stages approaches infinity is equal to the value of [math]\displaystyle{ R\,\! }[/math]. Therefore, [math]\displaystyle{ R=0.7157\,\! }[/math].
- The maximum achievable reliability with a 90% confidence level can be estimated by viewing the confidence bounds on the parameters in the QCP, as shown in the figure below. The lower bound on the value of [math]\displaystyle{ R\,\! }[/math] is equal to 0.6691 .