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Also known as fatigue life distribution
If T ~ BISA($\theta$,$\beta$) and c > 0 then cT ~ BISA($c\theta$,$\beta$)
If T ~ BISA($\theta$,$\beta$) then 1/T ~ BISA($\theta^{-1}$,$\beta$)
$h(t;\theta, \beta)$ is always unimodal and isn't always increasing
$h(0;\theta,\beta)=0$
$lim_{t \to \infty}h(t;\theta,\beta)=1/(2\theta\beta^{2})$
It has a close relationship to the IGAU distribution
Similar to the lognormal distribution
Used to model failure times
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