Sum of distribution

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If $X_i \sim Bernoulli(\theta)$, then the $\sum_1^n X_i \sim Binomial(n, \theta)$

I don't know how it is derived, could anyone show or prove it to me.

Besides, there are similar knowledges such as $X_i \sim Exp(1/\theta)$, then the $\sum_1^n X_i \sim Gamma(n,1/\theta)$ and I believe it is the Same method.

Many thanks !!