Weibull++ Standard Folio Data Generalized Gamma: Difference between revisions

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The objective of life data analysis is to fit a statistical distribution to failure time data in order to understand the reliability performance of a product over time or to make projections about future behavior. From the analysis, you can estimate several life characteristics, such as probability of failure, reliability, mean life or failure rate.
The generalized gamma distribution has the ability to mimic the attributes of other distributions such as the Weibull or lognormal, based on the values of the distribution's parameters. While the generalized gamma distribution is not often used to model life data by itself (mostly due to its mathematical complexity and its requirement of large sample sizes (>30) for convergence), its ability to behave like other more commonly-used life distributions is sometimes used to determine which of those life distributions should be used to model a particular set of data.
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| [http://reliawiki.com/index.php/Template:Generalized_gamma_distribution the theory textbook...]   
| [http://reliawiki.org/index.php/The_Generalized_Gamma_Distribution the theory textbook...]   
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Revision as of 23:14, 13 April 2012

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Standard Folio Generalized Gamma Distibution

The generalized gamma distribution has the ability to mimic the attributes of other distributions such as the Weibull or lognormal, based on the values of the distribution's parameters. While the generalized gamma distribution is not often used to model life data by itself (mostly due to its mathematical complexity and its requirement of large sample sizes (>30) for convergence), its ability to behave like other more commonly-used life distributions is sometimes used to determine which of those life distributions should be used to model a particular set of data.


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