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In teachingApps: Apps for Teaching Statistics, R Programming, and Shiny App Development
Properties of the Generalized Gamma Distribution
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When $\beta = 1, \;\;\; T \sim GAM(\theta,\kappa)$
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When $\kappa = 1, \;\;\; T \sim WEIB(\theta,\beta)$
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When $(\beta,\kappa) = (1,1), \;\;\; T \sim EXP(\theta)$
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As $\kappa \rightarrow \infty, \;\;\; T\xrightarrow{d} LOGNOR(\log(\theta)+\log(\kappa)/\beta, 1/(\beta\sqrt{\kappa}))$
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teachingApps documentation built on July 1, 2020, 5:58 p.m.
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Properties of the Generalized Gamma Distribution
-
When $\beta = 1, \;\;\; T \sim GAM(\theta,\kappa)$
-
When $\kappa = 1, \;\;\; T \sim WEIB(\theta,\beta)$
-
When $(\beta,\kappa) = (1,1), \;\;\; T \sim EXP(\theta)$
-
As $\kappa \rightarrow \infty, \;\;\; T\xrightarrow{d} LOGNOR(\log(\theta)+\log(\kappa)/\beta, 1/(\beta\sqrt{\kappa}))$
Try the teachingApps package in your browser
Any scripts or data that you put into this service are public.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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