I noticed the following inequality involving factorials as a consequence of a statistics exercise: $$ (x_1+\cdots+x_n)!\leq n^{x_1+\cdots +x_n}\,x_1!\,\cdot\cdots\cdot\,x_n!\,, $$ where $x_1,\ldots,x_n$ are nonnegative integers. I thought such a clean inequality would have a name, but wasn't able to find anything on the internet. Can someone provide an elementary proof of it, or at least one that feels more natural than mine?
How I arrived at it: Let $X=(X_1,\ldots,X_n)$ be a random sample from the Poisson($\lambda$) distribution. Consider the statistic $T=X_1+\,\cdots\,X_n\,$. By the superposition property of independent Poisson random variables, $T$ has a Poisson($n\lambda$) distribution. Denoting $t(x)=x_1+\cdots+x_n\,$, the following line shows that $T$ is a sufficient statistic for $\lambda\,$; $$ P\big(X=x\,\big|\,T=t(x)\big)=\frac{P(X=x)}{P\big(T=t(x)\big)}=\frac{\prod_1^nP(X_i=x_i)}{P\big(T=t(x)\big)}=\frac{\big(e^{-\lambda}\big)^n\,\frac{\lambda^{t(x)}}{x_1!\,\cdots \,x_n!}}{e^{-n\lambda}\,\frac{(n\lambda)^{t(x)}}{t(x)!}}=\frac{t(x)!}{n^{t(x)}x_1!\cdots x_n!}\,. $$ As the probability of any event cannot be bigger than one, we must have $t(x)!\leq n^{t(x)}x_1!\cdots x_n!\,$.
Combinatorially, $$\frac{(x_1+\dots+x_n)!}{x_1!\cdots x_n!}$$ is a multinomial coefficient that counts the number of ways to partition a set of size $x_1+\dots+x_n$ into sets of sizes $x_1,\dots,x_n$. On the other hand, $$n^{x_1+x_2+\dots+x_n}$$ counts the number of functions from a set of size $x_1+\dots+x_n$ to a set of size $n$, or equivalently (considering the fibers of such a function) the number of partitions of a set of size $x_1+\dots+x_n$ into $n$ (ordered) subsets. Thus $$\frac{(x_1+\dots+x_n)!}{x_1!\cdots x_n!}\leq n^{x_1+x_2+\dots+x_n}$$ and your inequality follows. This also shows the inequality is strict unless $n=1$ or $x_i=0$ for all $i$, since otherwise there will exist partitions into $n$ subsets where the subsets do not have sizes $x_1,\dots,x_n$.