Berry-Esseen Theorem (Jacod - Protter):
Let $(X_j)_{j \geq 1}$ be i.i.d. and suppose that $E\{|X_j|^3\}<\infty$. Let $G_n(x) = P\left(\frac{S_n-n\mu}{\sigma \sqrt{n}}\leq x\right)$ where $\mu = E\{X_j\}$ and $\sigma^2 = \sigma^2_{X_j} < \infty$. Let $\Phi(x) = P(Z \leq x)$, where $L(Z) = N(0,1)$. Then $$\sup_{x\in\mathbb R}\left|G_n(x)-\Phi(x)\right| \leq c \frac{E\{|X_j|^3\}}{\sigma^3 \sqrt{n}},$$ where $c$ is a constant.
Help me to understand this theorem intuitively.
Some questions:
- How is this related to the Classic Central Limit Theorem?
- What does this $c$ represents?
- I've searched and some says that "It is quantitative version of the CLT", what does it mean?
- The book of Jacod-Protter hinted about the "rate of convergence", how does it relate to the Berry-Esseen Theorem, is there a relation of the "rate of convergence" and the constant $c$? If so, how are they related?
Thank you for your help.