ex-1: reviewed
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@ -167,7 +167,7 @@ or *Robertson-Cryer* estimator was used. This estimator was chosen because makes
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no assumptions on the underlying distribution and is not computationally
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expensive. The HSM is obtained by iteratively identifying the half modal
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interval, which is the smallest interval containing half of the observation.
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Once the sample is reduced to less that three points the mode is computed as the
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Once the sample is reduced to less than three points the mode is computed as the
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average. The special case $n=3$ is dealt with by averaging the two closer points
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[@robertson74].
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@ -191,8 +191,8 @@ where $\sigma_e$ and $\sigma_o$ are the absolute errors of $m_e$ and $m_o$
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respectively. At 95% confidence level, the values are compatible if $p > 0.05$.
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In this case:
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- t = 1.012
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- p = 0.311
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- $t = 1.012$
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- $p = 0.311$
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Thus, the observed mode is compatible with the mode of the Landau distribution,
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although the result is quite imprecise.
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@ -246,7 +246,7 @@ $$
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for x, given a probability value $p_0$, where $p(x)$ is the CDF. The (unique)
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root of this equation was found by a root-finding routine
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(`gsl_root_fsolver_brent` in GSL) based on the Brent-Dekker method it too.
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(`gsl_root_fsolver_brent` in GSL) based on the Brent-Dekker method.
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The following condition was checked for convergence:
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$$
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|a - b| < \varepsilon_\text{abs} + \varepsilon_\text{rel} \min(|a|, |b|)
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@ -290,7 +290,7 @@ $$
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The function derivative $f'(x)$ was minimized using the same minimization method
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used for finding $m_e$. Once $f_\text{max}$ was known, the equation:
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$$
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f'(x) = \frac{f_\text{max}}{2}
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f(x) = \frac{f_\text{max}}{2}
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$$
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was solved by performing the Brent-Dekker method (described before) in the
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@ -303,8 +303,8 @@ $$
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\vspace{-1em}
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![Example of a Moyal distribution density obtained by the KDE method. The rug
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plot shows the original sample used in the reconstruction. The 0.6 factor
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compensate for the otherwise peak height reduction.](images/1-landau-kde.pdf)
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plot shows the original sample used in the reconstruction.
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](images/landau-kde.pdf)
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On the other hand, obtaining a good estimate of the FWHM from a sample is much
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more difficult. In principle, it could be measured by binning the data and
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