Show convergence in distribution of gamma distribution by the central limit theorem

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So, I'm not sure how to solve this problem:

$X \in \Gamma(a,b)$. Show that $$\frac{X-E[X]}{\sqrt{Var(X)}} \rightarrow^{d} N(0,1)$$ as $a \rightarrow \infty$

Use the central limit theorem.

I've come to $\frac{X-ab}{b\sqrt{a}}$, but my feeling is that this is not the same as CLT

$$S_{n} = X_{1} + X_{2} + ... + X_{n}, n \geq 1$$ $$\frac{S_{n}-n\mu}{\sigma \sqrt{n}} \rightarrow^{d} N(0,1)$$ as $n \rightarrow \infty$

since $S_{n}$ is a sum of r.v.'s and $X$ is a single r.v..