Weibull++ Standard Folio Data 1P-Weibull: Difference between revisions
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<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> | ||
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With the one-parameter Weibull, we assume that the shape parameter is Constant and known ''a priori''. | With the one-parameter Weibull, we assume that the shape parameter is Constant and known ''a priori''. | ||
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[http://www.reliawiki.com/index.php/The_Weibull_Distribution The Weibull Distribution] | [http://www.reliawiki.com/index.php/The_Weibull_Distribution The Weibull Distribution] | ||
[[File:docedit.png|20px|right|link=http://www.reliawiki.com/index.php?title=Weibull%2B%2B_Standard_Folio_Data_1P-Weibull&action=edit]] | [[File:docedit.png|20px|right|link=http://www.reliawiki.com/index.php?title=Weibull%2B%2B_Standard_Folio_Data_1P-Weibull&action=edit]] | ||
Revision as of 21:45, 9 November 2011
With the one-parameter Weibull, we assume that the shape parameter is Constant and known a priori.
The advantage of doing this is that data sets with few or no failures can be analyzed.