sections: rite sections 2 and 4

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Giù Marcer 2020-06-07 00:02:20 +02:00 committed by rnhmjoj
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# Landau PDF
## Pathological probability distribution
## A pathological distribution
Because of its fat tail:
@ -10,23 +10,48 @@ Because of its fat tail:
V[x] &\longrightarrow + \infty
\end{align*}
. . .
No closed form for parameters.
## Landau median
The median of a PDF is defined as:
$$
Q_L(x) = \frac{1}{2}
Q_L(m) = \frac{1}{2}
$$
. . .
- CDF computed by numerical integration,
- QDF computed by numerical root-finding (Brent)
hence:
$$
m_L = 1.3557804...
$$
o
## Landau mode
- Maxmimum $\quad \Longrightarrow \quad \partial_x M(\mu) = 0$,
- Computed by numerical minimization (Brent)
$$
\mu_L = 0.22278...
$$
## Landau FWHM
$$
\text{FWHM} = x_+ - x_- \with L(x_{\pm})
= \frac{L_{\text{max}}}{2} = \frac{L(\mu_L)}{2}
$$
- Computed numerically (Brent)
$$
\text{FWHM}_L = 4.018645...
$$

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# Data sample
## Data sample
The $M(x)$ most similar to $L(x)$ is found by imposing:
## PDF parameters
A $M(x)$ similar to $L(x)$ can be found by imposing:
- equal mode
$$
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$$
\implies \sigma_M \approx 1.1191486
$$
## PDF parameters
:::: {.columns}
::: {.column width=50%}
![](images/both-pdf-bef.pdf)
:::
::: {.column width=50%}
![](images/both-pdf-aft.pdf)
:::
::::