The numbers $\binom{n+\alpha-1}{n}$, $n\geq0$; $\alpha\in\mathbb{R}$, arise as the coefficients of the Taylor series of the holomorphic function $(1-z)^{-\alpha}$ around $z=0$. When $\alpha\not\in\{0,-1,-2,\ldots\}$ we can appeal to the Gamma function $\Gamma$ to show that $$ \binom{n+\alpha-1}{n}\sim \frac{1}{\Gamma(\alpha)}\cdot\frac{1}{n^{1-\alpha}}\,,\ \text{ when }n\to\infty, $$ where, for $x\in\mathbb{R}$ and $k\geq0$ integer,$$\binom{x}{k}:=\frac{x(x-1)(x-2)\cdots(x-k+1)}{k!}.$$
Using the Gamma function seems kind of an overkill to me. Are there a more elementary way to obtain this, maybe just up to the constant $1/\Gamma(\alpha)$?
Any contribution is appreciated, thank you!!
Avoiding the $\Gamma$ function: $$\binom{n+\alpha-1}{n} = \frac{1}{n!}\prod_{k=0}^{n-1}(n+\alpha-1-k) = \prod_{k=1}^{n}\left(1+\frac{\alpha-1}{k}\right) $$ and if we approximate $\left(1+\frac{\alpha-1}{k}\right)$ with $\exp\left(\frac{\alpha-1}{k}\right)$ the last product turns into $$\exp\left((\alpha-1) H_n\right)\approx e^{\gamma}\cdot n^{\alpha-1}. $$