Weibull++ Standard Folio Data 1P-Weibull: Difference between revisions

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{{WeibullSideBar|Weibull++ Standard Folio <br> Weibull One Parameter|


{{WeibullSideBar|Weibull++ Standard Folio <br> Weibull One Parameter|
<math> f(T)={ \frac{C}{\eta }}\left( {\frac{T}{\eta }}\right) ^{C-1}e^{-\left( {\frac{T}{ \eta }}\right) ^{C}} \,\!</math>
<math> f(T)={ \frac{C}{\eta }}\left( {\frac{T}{\eta }}\right) ^{C-1}e^{-\left( {\frac{T}{ \eta }}\right) ^{C}} \,\!</math>
where <math>\beta=C=Constant</math>.
<br>  


In the formulation of the one-parameter Weibull, we assume that the shape parameter <math>\beta \,\!</math> is Constant and 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 one-parameter Weibull ''pdf'' is obtained by again setting
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<math>\gamma=0 \,\!</math> and assuming <math>\beta=C=Constant \,\!</math> assumed value or:
 
::<math> f(T)={ \frac{C}{\eta }}\left( {\frac{T}{\eta }}\right) ^{C-1}e^{-\left( {\frac{T}{ \eta }}\right) ^{C}} \,\!</math>
 
where the only unknown parameter is the scale parameter, <math>\eta\,\!</math>.
 
Note that in the formulation of the one-parameter Weibull, we assume that the shape parameter <math>\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.





Revision as of 21:39, 9 November 2011