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<h3>Properties of the Generalized Gamma Distribution</h3>

- 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 $\kappa \rightarrow \infty, \;\;\; T\xrightarrow{d} LOGNOR(\log(\theta)+\log(\kappa)/\beta, 1/(\beta\sqrt{\kappa}))$