analistica/slides/sections/2.md

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# Landau PDF
## A pathological distribution
Because of its fat tail:
\begin{align*}
E[x] &\longrightarrow + \infty \\
V[x] &\longrightarrow + \infty
\end{align*}
. . .
No closed form for parameters $\thus$ numerical estimations
## Landau median
The median of a PDF is defined as:
$$
m = Q \left( \frac{1}{2} \right)
$$
. . .
- CDF computed by numerical integration
- QDF computed by numerical root-finding (Brent)
$$
m_L\ex = 1.3557804...
$$
## Landau mode
- Maximum $\hence \partial_x L(\mu) = 0$
. . .
- Computed by numerical minimization (Brent)
$$
\mu_L\ex = 0.22278...
$$
## Landau FWHM
We need to compute the maximum:
$$
L_{\text{max}} = L(\mu_L)
$$
$$
\text{FWHM} = w = x_+ - x_- \with L(x_{\pm}) = \frac{L_{\text{max}}}{2}
$$
. . .
- Computed by numerical root finding (Brent)
$$
w_L\ex = 4.018645...
$$