[PS] More expected values and variances

2026-07-27 21:29:09 +02:00 · 2026-07-11 12:31:14 +02:00
parent cd4d2cb4d3
commit d75e317fd4
4 changed files with 6 additions and 2 deletions
@@ -26,5 +26,7 @@ Falls $\cX_k$ abhängig, dann gilt $\neq$
    \item $\cX \sim \text{H}(n, r, m)$, $\V[\cX] = m\frac{rn - r^2}{n^2} \frac{n - m}{n - 1}$
    \item $\cX \sim \text{Poisson}(\lambda)$, $\V[\cX] = \lambda = \E[\cX]$
    \item $\cX \sim \cU([a, b])$, $\V[\cX] = \frac{(b - a)^2}{12}$
+    \item $\cX \sim \text{Exp}(\lambda)$, $\V[\cX] = \frac{1}{\lambda^2}$
    \item $\cX \sim \cN(\mu, \sigma^2)$, $\V[\cX] = \sigma^2$
+    \item $\cX \sim \text{Cauchy}(x_0, \gamma)$: Existiert nicht
 \end{itemize}