Template:Example: Weibull Distribution Interval Data Example: Difference between revisions
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[math]\displaystyle{ \begin{align}
& \hat{\beta }=5.76 \\
& \hat{\eta }=44.68 \\
\end{align} }[/math]
[math]\displaystyle{ \begin{align}
& \hat{\beta }=5.70 \\
& \hat{\eta }=44.54 \\
\end{align} }[/math]
[math]\displaystyle{ \begin{align}
& \hat{\beta }=5.41 \\
& \hat{\eta }=44.76 \\
\end{align} }[/math]
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Analyze the data using several different parameter estimation techniques and compare the results. | 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. | 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'''. | ||
[[Image: Data Type.png|thumb|center|400px]] | |||
The data is entered as follows, | The data is entered as follows, | ||
[[Image: Data Folio.png|thumb|center|400px]] | |||
The computed parameters using maximum likelihood are: | The computed parameters using maximum likelihood are: | ||
<center><math>\begin{align} | |||
& \hat{\beta }=5.76 \\ | |||
& \hat{\eta }=44.68 \\ | |||
\end{align}</math></center> | |||
using RRX or rank regression on X: | using RRX or rank regression on X: | ||
<center><math>\begin{align} | |||
& \hat{\beta }=5.70 \\ | |||
& \hat{\eta }=44.54 \\ | |||
\end{align}</math></center> | |||
and using RRY or rank regression on Y: | and using RRY or rank regression on Y: | ||
<center><math>\begin{align} | |||
& \hat{\beta }=5.41 \\ | |||
& \hat{\eta }=44.76 \\ | |||
\end{align}</math></center> | |||
The plot of the MLE solution with the two-sided 90% confidence bounds is: | The plot of the MLE solution with the two-sided 90% confidence bounds is: | ||
[[Image: MLE Plot.png|thumb|center|400px]] |
Revision as of 22:51, 29 February 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:
using RRX or rank regression on X:
and using RRY or rank regression on Y:
The plot of the MLE solution with the two-sided 90% confidence bounds is: