Template:Generalized gamma probability density function: Difference between revisions

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====Generalized Gamma Probability Density Function====
#REDIRECT [[The_Generalized_Gamma_Distribution]]
 
The generalized gamma function is a three-parameter distribution. One version of the generalized gamma distribution uses the parameters  ,  , and  . The  for this form of the generalized gamma distribution is given by:
 
 
where  is a scale parameter,  and  are shape parameters and  is the gamma function of  , which is defined by:
 
 
With this version of the distribution, however, convergence problems arise that severely limit its usefulness. Even with data sets containing 200 or more data points, the MLE methods may fail to converge. Further adding to the confusion is the fact that distributions with widely different values of , , and  may appear almost identical [21]. In order to overcome these difficulties, Weibull++ uses a reparameterization with parameters  ,  , and  [21] where:
 
 
where  and  While this makes the distribution converge much more easily in computations, it does not facilitate manual manipulation of the equation. By allowing  to become negative, the  of the reparameterized distribution is given by:

Latest revision as of 09:36, 9 August 2012