Inverse Power Law Example: Difference between revisions
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<noinclude>{{Banner ALTA Examples}} | |||
''This example appears in the [[Inverse_Power_Law_(IPL)_Relationship#IPL-Weibull|Accelerated Life Testing Data Analysis Reference]] book.'' | |||
</noinclude> | |||
Consider the following times-to-failure data at two different stress levels. | Consider the following times-to-failure data at two different stress levels. | ||
[[Image:chp8ex1table.png|center|300px|''Pdf'' of the lognormal distribution with different log-std values.]] | [[Image:chp8ex1table.png|center|300px|''Pdf'' of the lognormal distribution with different log-std values.]] | ||
The data set was analyzed jointly | |||
The data set was analyzed jointly in an ALTA standard folio using the IPL-Weibull relationship model, with a complete MLE solution over the entire data set. The analysis yields: | |||
::<math>\widehat{\beta }=2.616464</math> | ::<math>\widehat{\beta }=2.616464</math> | ||
Revision as of 01:46, 14 August 2012
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This example appears in the Accelerated Life Testing Data Analysis Reference book.
Consider the following times-to-failure data at two different stress levels.
The data set was analyzed jointly in an ALTA standard folio using the IPL-Weibull relationship model, with a complete MLE solution over the entire data set. The analysis yields:
- [math]\displaystyle{ \widehat{\beta }=2.616464 }[/math]
- [math]\displaystyle{ \widehat{K}=0.001022 }[/math]
- [math]\displaystyle{ \widehat{n}=1.327292 }[/math]