slides: improve conclusions

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Michele Guerini Rocco 2020-06-13 17:46:55 +02:00
parent 670c8c54ca
commit c9709c5a9c

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## Summary
::: incremental
- 5 out of 6 tests properly work for a high number of points ($N = 50000$)
- All tests work reliably for large samples ($N \geq 5000$)
- Properties comparison:
- Median estimation works; decreases in significance as $N$ decreases
- HSM swtill properly works for $N = 1000$
- KDE is the least accurate test (not working for Landau distribution)
- KS still properly works for very few points ($N = 200$)
- Trapani test, although less informative, till works for $N = 1000$
(not working for $N = 200$)
- Median significance correlates well with $N$
- HSM still significant at small sample size ($N = 1000$)
- FWHM unreliable at moderate sample size ($N \leq 5000$)
- KS accurate even at very small sample ($N = 200$)
- Trapani still works for $N = 1000$ but fails for smaller sizes
:::