Template:One-parameter weibull distribution: Difference between revisions

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==== The One-Parameter Weibull Distribution ====
#REDIRECT [[The Weibull Distribution]]
 
The one-parameter Weibull ''pdf'' is obtained by again setting
<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.
 
[[Category:Needs an example]]

Latest revision as of 01:31, 13 August 2012