Weibull++ Standard Folio Data 2 Subpop-Mixed Weibull: Difference between revisions

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The One-parameter Weibull distribution is a special case of the general Weibull distribution.
With the one-parameter Weibull, we assume that the shape parameter is Constant and known ''a priori'', and must be supplied by the analyst. This in turn sets the failure rate behavior. The advantage of doing this is that data sets with few or no failures can be analyzed.
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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>
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Only the scale parameter (eta) is estimated from data.  You will be prompted to specify the shape parameter value. Eta represents the time by which 63.2% of the units fail.
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| align="center" valign="middle" | [http://www.reliawiki.com/index.php/The_Mixed_Weibull_Distribution Get More Details...]
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| align="center" valign="middle" | [http://www.reliawiki.com/index.php/Weibull_Examples_Mixed See Examples...]
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Latest revision as of 20:46, 10 July 2015

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