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Mean and Variance of the Gamma Distribution via Integration

题目

Let XGamma(α,λ)X \sim \text{Gamma}(\alpha, \lambda) with PDF f(x)=λαΓ(α)xα1eλxf(x) = \frac{\lambda^\alpha}{\Gamma(\alpha)} x^{\alpha - 1} e^{-\lambda x} for x>0x > 0.

(a) Derive E[X]E[X] by direct integration, using the fact that 0λβΓ(β)xβ1eλxdx=1\int_0^\infty \frac{\lambda^\beta}{\Gamma(\beta)} x^{\beta - 1} e^{-\lambda x}\,dx = 1 for any β>0\beta > 0.

(b) Derive E[X2]E[X^2] similarly and compute Var(X)\text{Var}(X).

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你的答案

E[X]

Var(X)