Difference between revisions of "Gamma distribution"
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| − | + | [[Expected value of gamma distribution]]<br /> | |
| − | + | [[Variance of gamma distribution]] | |
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Revision as of 14:11, 28 January 2023
Let $\mathbb{T}$ be a time scale. Let $\lambda \in \mathbb{R}$ with $\lambda > 0$ and define $\Lambda_0(t,t_0)=0, \Lambda_1(t,t_0)=1$ and $$\Lambda_{k+1}(t,t_0) = -\displaystyle\int_{t_0}^t (\ominus \lambda)(\tau) \Lambda_k(\sigma(\tau),t_0) \Delta \tau.$$
The gamma probability density function is defined to be $$f_k(t)= \left\{ \begin{array}{ll} \dfrac{\lambda}{e_{\lambda}(\sigma(t),0)} \Lambda_k(\sigma(t),0) &; t \geq 0 \\ 0 &; t < 0 \end{array} \right.$$
Properties
Expected value of gamma distribution
Variance of gamma distribution
Probability distributions | ||
| Uniform distribution | Exponential distribution | Gamma distribution |
