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

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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.
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_Weibull_Distribution Get More Details...]
| align="center" valign="middle" | [http://www.reliawiki.com/index.php/The_Weibull_Distribution The Weibull Distribution]
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| align="center" valign="middle" | [http://www.reliawiki.com/index.php/Weibull_Examples_1P See Examples...]
| align="center" valign="middle" | [http://www.reliawiki.com/index.php/Weibull_Examples_1P See Examples...]

Revision as of 16:01, 24 January 2012

Reliability Web Notes

Weibull Folio
Life Data Analysis
One-Parameter Weibull Distribution

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.

[math]\displaystyle{ f(T)={ \frac{C}{\eta }}\left( {\frac{T}{\eta }}\right) ^{C-1}e^{-\left( {\frac{T}{ \eta }}\right) ^{C}} \,\! }[/math]
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.

The Weibull Distribution
See Examples...



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