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