Sequential Data - Lloyd-Lipow Model: Difference between revisions
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<noinclude>{{Banner RGA Examples}} | <noinclude>{{Banner RGA Examples}} | ||
''This example appears in the [[Lloyd-Lipow|Reliability Growth and Repairable System Analysis Reference | ''This example appears in the [[Lloyd-Lipow|Reliability Growth and Repairable System Analysis Reference]]''. | ||
</noinclude> | </noinclude> | ||
Use MLE to find the Lloyd-Lipow model that represents the data in the following table, and plot it along with the 95% 2-sided confidence bounds. Does the model follow the data? | Use MLE to find the Lloyd-Lipow model that represents the data in the following table, and plot it along with the 95% 2-sided confidence bounds. Does the model follow the data? | ||
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|20|| S | |20|| S | ||
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'''Solution''' | '''Solution''' | ||
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The two figures below demonstrate the solution. As can be seen from the Reliability vs. Time plot with 95% 2-sided confidence bounds, the model does not seem to follow the data. You may want to consider another model for this data set. | The two figures below demonstrate the solution. As can be seen from the Reliability vs. Time plot with 95% 2-sided confidence bounds, the model does not seem to follow the data. You may want to consider another model for this data set. | ||
[[Image:rga6.10.png | [[Image:rga6.10.png|center|600px]] | ||
[[Image:rga6.11.png | [[Image:rga6.11.png|center|450px]] |
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This example appears in the Reliability Growth and Repairable System Analysis Reference.
Use MLE to find the Lloyd-Lipow model that represents the data in the following table, and plot it along with the 95% 2-sided confidence bounds. Does the model follow the data?
Run Number | Result |
---|---|
1 | F |
2 | F |
3 | S |
4 | S |
5 | S |
6 | F |
7 | S |
8 | F |
9 | F |
10 | S |
11 | S |
12 | S |
13 | F |
14 | S |
15 | S |
16 | S |
17 | S |
18 | S |
19 | S |
20 | S |
Solution
The two figures below demonstrate the solution. As can be seen from the Reliability vs. Time plot with 95% 2-sided confidence bounds, the model does not seem to follow the data. You may want to consider another model for this data set.