I would like to compute the following limit of an integral $$I=\lim_{n\to+\infty}\int_0^n\frac{x^n\text{e}^{-x}}{n!}\text{d}x$$ which I encountered in a statistics problem. I can easily do this using Gamma distribution and Central Limit Theorem:
Consider a random variable $X_n$ with PDF $f_n(x)=\frac{x^n\text{e}^{-x}}{n!}$. From the properties of Gamma distribution, it can be decomposed into exponential distributions, $X_n=\sum_{k=1}^n X_k$ where $X_k\sim\text{Exp}(1)$. Now let $F_n(x)=\text{P}(\frac{X_n-n}{\sqrt n}\leq x)$; from Central Limit Theorem, $$\lim_{n\to+\infty}F_n(x)=\lim_{n\to+\infty}\text{P}\left(\frac{\sum_{k=1}^n X_k -n}{\sqrt n}\leq x\right)=\frac{1}{\sqrt{2\pi}}\int_{-\infty}^x\text{e}^{\frac{-t^2}{2}}\text{d}t$$ Plugging $x=0$ in gives $I=\frac 1 2$.
Nevertheless, I would like to know if there are any pure math methods for solving this (that don't involve anything statistical). The integral itself, from Wolfram|Alpha, is $$\int_0^n\frac{x^n\text{e}^{-x}}{n!}\text{d}x=\frac{\Gamma(n+1)-\Gamma(n+1,n)}{n!}$$ which doesn't seem to be very useful (it's just rewriting this integral in a Gamma function form). Any help would be appreciated.