Template:Example: Weibull Distribution Interval Data Example: Difference between revisions
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Suppose that we have run an experiment with eight units being tested and the following is a table of their last inspection times and times-to-failure: | Suppose that we have run an experiment with eight units being tested and the following is a table of their last inspection times and times-to-failure: | ||
{| border="1" align="center" | {| border="1" align="center" style="border-collapse: collapse;" cellpadding="5" cellspacing="5" | ||
| align="center" style="background:#f0f0f0;"|'''Data Point Index''' | | align="center" style="background:#f0f0f0;"|'''Data Point Index''' | ||
| align="center" style="background:#f0f0f0;"|'''Last Inspection''' | | align="center" style="background:#f0f0f0;"|'''Last Inspection''' | ||
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| 8||55||55 | | 8||55||55 | ||
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Revision as of 02:15, 8 August 2012
Weibull Distribution Interval Data Example
Suppose that we have run an experiment with eight units being tested and the following is a table of their last inspection times and times-to-failure:
Data Point Index | Last Inspection | Time to Failure |
1 | 30 | 32 |
2 | 32 | 35 |
3 | 35 | 37 |
4 | 37 | 40 |
5 | 42 | 42 |
6 | 45 | 45 |
7 | 50 | 50 |
8 | 55 | 55 |
Analyze the data using several different parameter estimation techniques and compare the results.
Solution
This data set can be entered into Weibull++ by opening a new Data Folio and choosing Times-to-failure and My data set contains interval and/or left censored data.
The data is entered as follows,
The computed parameters using maximum likelihood are:
- [math]\displaystyle{ \begin{align} & \hat{\beta }=5.76 \\ & \hat{\eta }=44.68 \\ \end{align} }[/math]
using RRX or rank regression on X:
- [math]\displaystyle{ \begin{align} & \hat{\beta }=5.70 \\ & \hat{\eta }=44.54 \\ \end{align} }[/math]
and using RRY or rank regression on Y:
- [math]\displaystyle{ \begin{align} & \hat{\beta }=5.41 \\ & \hat{\eta }=44.76 \\ \end{align} }[/math]
The plot of the MLE solution with the two-sided 90% confidence bounds is: