List questions from gamma-distribution

Published on 18 Nov 2020 - 16:57

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Hypothesis testing on sampling from exponential distribution

Published on 19 Nov 2020 - 13:52

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Closed form of $I=\int_{0}^{c}{t^\kappa\ e^{-t}\cos{\left(t\right)} dt}$

Published on 21 Nov 2020 - 20:17

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Mean of unormalized Gamma distribution

Published on 26 Mar 2026 - 6:21

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Is there any case where we can't solve a gamma distribution problem by switching to the incomplete version?

Published on 25 Mar 2026 - 11:02

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If $X_i \sim \text{Exp}(\theta)$ what is the distribution of $\frac{n}{X_1 + \dots + X_n}$?

Published on 01 Dec 2020 - 8:26

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If $X_1$ and $X_2$ are independent random variables with distribution $N(0,1)$, then proof the sum of $X_{1}^2 + X_{2}^2$ has gamma distribution.

Published on 02 Dec 2020 - 16:56

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Variance of $1/Y$ where $Y$~Gamma

Published on 18 Dec 2020 - 7:20

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$Y=UX$ with $U \sim \mathcal{U}[0,1]$ and $X \sim \gamma(n+1)$

Published on 23 Dec 2020 - 11:20

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Help understanding this question on the Gamma Distribution

Published on 31 Dec 2020 - 14:46

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Convolution of Gamma distribution

Published on 11 Jan 2021 - 3:33

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How is Nakagami function derived from Gamma function?

Published on 11 Jan 2021 - 22:44

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Posterior for Gamma prior and Gamma likelihood with known shape

Published on 20 Jan 2021 - 12:07

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Evaluating Factorial Using Gamma Function

Published on 20 Jan 2021 - 13:36

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Given three customers arrive in the first hour, find probability third arrives in second half

Published on 01 Feb 2021 - 0:43

List Question

Increasing the tail of exponential function

Hypothesis testing on sampling from exponential distribution

Closed form of $I=\int_{0}^{c}{t^\kappa\ e^{-t}\cos{\left(t\right)} dt}$

Mean of unormalized Gamma distribution

Is there any case where we can't solve a gamma distribution problem by switching to the incomplete version?

If $X_i \sim \text{Exp}(\theta)$ what is the distribution of $\frac{n}{X_1 + \dots + X_n}$?

If $X_1$ and $X_2$ are independent random variables with distribution $N(0,1)$, then proof the sum of $X_{1}^2 + X_{2}^2$ has gamma distribution.

Variance of $1/Y$ where $Y$~Gamma

$Y=UX$ with $U \sim \mathcal{U}[0,1]$ and $X \sim \gamma(n+1)$

Help understanding this question on the Gamma Distribution

Convolution of Gamma distribution

How is Nakagami function derived from Gamma function?

Posterior for Gamma prior and Gamma likelihood with known shape

Evaluating Factorial Using Gamma Function

Given three customers arrive in the first hour, find probability third arrives in second half

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