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

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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''. The advantage of doing this is that data sets with few or no failures can be analyzed.
<br> The advantage of doing this is that data sets with few or no failures can be analyzed.
 
* See [http://www.reliawiki.com/index.php/The_Weibull_Distribution The Weibull Distribution]


[http://www.reliawiki.com/index.php/The_Weibull_Distribution The Weibull Distribution]
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Revision as of 21:46, 9 November 2011

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  • 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.
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