fix some typos and make some improvements
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@ -1,5 +1,5 @@
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# Goal
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# Goal
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## Goal
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## Goal
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@ -87,7 +87,7 @@ utilized in the approximation of the former.
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- Kolmogorov - Smirnov:
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- Kolmogorov - Smirnov:
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- compatibility between expected and observed CDF
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- compatibility between expected and observed CDF
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. . .
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. . .
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- Trapani test:
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- Trapani test:
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- compatibiity between expected and observed mean
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- compatibility between expected and observed momenta
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@ -12,7 +12,7 @@ Because of its fat tail:
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. . .
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. . .
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No closed form for parameters $\thus$ Numerical estimations
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No closed form for parameters $\thus$ numerical estimations
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## Landau median
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## Landau median
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@ -35,7 +35,7 @@ $$
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## Landau mode
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## Landau mode
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- Maxmimum $\quad \Longrightarrow \quad \partial_x L(\mu) = 0$
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- Maximum $\quad \Longrightarrow \quad \partial_x L(\mu) = 0$
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. . .
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. . .
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@ -20,7 +20,7 @@ More generally:
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$$
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$$
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z = \frac{x - \mu}{\sigma}
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z = \frac{x - \mu}{\sigma}
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\thus
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\thus
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M(x) = \frac{1}{\sqrt{2 \pi} \sigma} \exp
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M_{\mu \sigma}(x) = \frac{1}{\sqrt{2 \pi} \sigma} \exp
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\left[ - \frac{1}{2} \left(
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\left[ - \frac{1}{2} \left(
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\frac{x - \mu}{\sigma}
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\frac{x - \mu}{\sigma}
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+ e^{-\frac{x - \mu}{\sigma}} \right) \right]
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+ e^{-\frac{x - \mu}{\sigma}} \right) \right]
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@ -60,7 +60,7 @@ $$
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## Moyal QDF
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## Moyal QDF
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The quantile (CDF\textsuperscript{-1}) is found solving:
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The quantile (CDF\textsuperscript{-1}) is found solving for $x$:
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$$
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$$
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y = 1 - \text{erf} \left( \frac{e^{- \frac{x}{2}}}{\sqrt{2}} \right)
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y = 1 - \text{erf} \left( \frac{e^{- \frac{x}{2}}}{\sqrt{2}} \right)
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$$
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$$
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@ -40,7 +40,7 @@ Most probable value
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HSM
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HSM
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- Iteratively identify the smallest interval containing half points
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- Iteratively identify the smallest interval containing half points
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- once the sample is reduced to less than three points, take average
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- Once the sample is reduced to less than three points, take average
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## Sample FWHM
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## Sample FWHM
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@ -60,7 +60,7 @@ $$
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G \left( \frac{x-x_i}{\varepsilon} \right)
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G \left( \frac{x-x_i}{\varepsilon} \right)
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$$
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$$
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The parameter $\varepsilon$ controls the strenght of the smoothing
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The parameter $\varepsilon$ controls the strength of the smoothing
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## Sample FWHM
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## Sample FWHM
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@ -77,8 +77,8 @@ $$
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with:
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with:
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- $S_N$ is the sample stdev
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- $S_N$ is the sample standard deviation
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- $d$ number of dimensions ($d = 1$)
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- $d$ is number of dimensions ($d = 1$)
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. . .
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. . .
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@ -33,7 +33,7 @@ $$
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$$
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$$
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$$
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$$
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\implies \sigma_M \approx 1.1191486
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\implies \sigma_M \approx 1.1191486...
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$$
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$$
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@ -60,7 +60,7 @@ This leads to more different medians:
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\end{align*}
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\end{align*}
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## Results compatibility
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## Compatibility test
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Comparing results:
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Comparing results:
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@ -70,7 +70,7 @@ $$
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$$
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$$
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- $x\ex$ and $x\ob$ are the expected and observed values
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- $x\ex$ and $x\ob$ are the expected and observed values
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- $\sigma_e$ and $\sigma_o$ are their absolute errors
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- $\sigma\ex$ and $\sigma\ob$ are their absolute errors
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. . .
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. . .
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@ -15,7 +15,7 @@ $$
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gsl_ran_Landau(gsl_rng)
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gsl_ran_Landau(gsl_rng)
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## Compatiblity results:
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## Compatibility results:
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Median:
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Median:
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@ -89,10 +89,10 @@ $$
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reverse sampling
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reverse sampling
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- sampling $y$ uniformly in [0, 1] $\quad \longrightarrow \quad x = Q_M(y)$
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- sampling $y$ uniformly in [0, 1] $\quad \longrightarrow \quad x = Q_M(y)$
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## Compatiblity results:
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## Compatibility results:
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Median:
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Median:
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