Weibull++ Standard Folio Data 1P-Weibull: Difference between revisions
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==== The One-Parameter Weibull Distribution ==== | ==== The One-Parameter Weibull Distribution ==== | ||
The one-parameter Weibull | The one-parameter Weibull reliability function is obtained by again setting | ||
<math>\gamma=0 \,\!</math> and assuming <math>\beta=C=Constant \,\!</math> assumed value or: | <math>\gamma=0 \,\!</math> and assuming <math>\beta=C=Constant \,\!</math> assumed value or: | ||
[[Image:weibullreliabilityfunction.png|center]] | |||
where the only unknown parameter is the scale parameter, <math>\eta\,\!</math>. | where the only unknown parameter is the scale parameter, <math>\eta\,\!</math>. | ||
Revision as of 21:20, 7 February 2012
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The One-Parameter Weibull DistributionThe one-parameter Weibull reliability function is obtained by again setting [math]\displaystyle{ \gamma=0 \,\! }[/math] and assuming [math]\displaystyle{ \beta=C=Constant \,\! }[/math] assumed value or: where the only unknown parameter is the scale parameter, [math]\displaystyle{ \eta\,\! }[/math]. Note that in the formulation of the one-parameter Weibull, we assume that the shape parameter [math]\displaystyle{ \beta \,\! }[/math] is known a priori from past experience on identical or similar products. The advantage of doing this is that data sets with few or no failures can be analyzed.
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| The Weibull Distribution |
