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

From ReliaWiki
Jump to navigation Jump to search
No edit summary
No edit summary
Line 5: Line 5:
}}
}}


* 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.
* Only the scale parameter (eta) is estimated from data.  You will be prompted to specify the shape parameter value.
* Only the scale parameter (eta) is estimated from data.  You will be prompted to specify the shape parameter value.
* 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.
* See [http://www.reliawiki.com/index.php/The_Weibull_Distribution The Weibull Distribution]
* See [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 21:49, 9 November 2011

Template:WeibullSideBar


  • 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.
  • Only the scale parameter (eta) is estimated from data. You will be prompted to specify the shape parameter value.
  • See The Weibull Distribution
Docedit.png