Template:Example: Lognormal General Example Interval Data: Difference between revisions
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|colspan="3" style="text-align:center"| Table | |colspan="3" style="text-align:center"| Table 3- Non-Grouped Data Times-to-Failure with intervals (lnterval and left censored) | ||
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!Data point index | !Data point index |
Revision as of 17:03, 2 March 2012
Lognormal Distribution General Example Interval Data
Determine the lognormal parameter estimates for the data given in Table below.
Table 3- Non-Grouped Data Times-to-Failure with intervals (lnterval and left censored) | ||
Data point index | Last Inspected | State End Time |
---|---|---|
1 | 30 | 32 |
2 | 32 | 35 |
3 | 35 | 37 |
4 | 37 | 40 |
5 | 42 | 42 |
6 | 45 | 45 |
7 | 50 | 50 |
8 | 55 | 55 |
Solution
This is a sequence of interval times-to-failure where the intervals vary substantially in length. Using Weibull++, the computed parameters for maximum likelihood are calculated to be:
- [math]\displaystyle{ \begin{align} & {{{\hat{\mu }}}^{\prime }}= & 3.64 \\ & {{{\hat{\sigma' }}}}= & 0.18 \end{align} }[/math]
For rank regression on [math]\displaystyle{ X\ \ : }[/math]
- [math]\displaystyle{ \begin{align} & {{{\hat{\mu }}}^{\prime }}= & 3.64 \\ & {{{\hat{\sigma' }}}}= & 0.17 \end{align} }[/math]
For rank regression on [math]\displaystyle{ Y\ \ : }[/math]
- [math]\displaystyle{ \begin{align} & {{{\hat{\mu }}}^{\prime }}= & 3.64 \\ & {{{\hat{\sigma' }}}}= & 0.21 \end{align} }[/math]