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Broken Links fixed in LLRcalc.py #2137

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Broken Links fixed in LLRcalc.py #2137

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12 changes: 6 additions & 6 deletions server/fishtest/stats/LLRcalc.py
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Original file line number Diff line number Diff line change
Expand Up @@ -58,7 +58,7 @@ def MLE_expected(pdfhat, s):
The theory behind this function can be found in the online
document

http://hardy.uhasselt.be/Fishtest/support_MLE_multinomial.pdf
https://www.cantate.be/Fishtest/support_MLE_multinomial.pdf

(see Proposition 1.1)."""
pdf1 = [(ai - s, pi) for ai, pi in pdfhat]
Expand All @@ -78,7 +78,7 @@ def MLE_t_value(pdfhat, ref, s):
The theory behind this function can be found in the online
document

https://hardy.uhasselt.be/Fishtest/normalized_elo_practical.pdf
https://www.cantate.be/Fishtest/normalized_elo_practical.pdf

(see Section 4.1)."""
N = len(pdfhat)
Expand Down Expand Up @@ -154,7 +154,7 @@ def LLR_alt(pdf, s0, s1):
distribution and s is the expectation value of the true
distribution. See

http://hardy.uhasselt.be/Fishtest/support_MLE_multinomial.pdf
https://www.cantate.be/Fishtest/support_MLE_multinomial.pdf
"""
r0, r1 = [sum([prob * (value - s) ** 2 for value, prob in pdf]) for s in (s0, s1)]
return 1 / 2 * math.log(r0 / r1)
Expand All @@ -167,7 +167,7 @@ def LLR_alt2(pdf, s0, s1):
distribution and s is the expectation value of the true
distribution. See

http://hardy.uhasselt.be/Fishtest/GSPRT_approximation.pdf
https://www.cantate.be/Fishtest/GSPRT_approximation.pdf
"""
s, var = stats(pdf)
return (s1 - s0) * (2 * s - s0 - s1) / var / 2.0
Expand All @@ -193,7 +193,7 @@ def LLR_drift_variance_alt2(pdf, s0, s1, s=None):
the argument s. If s is not given the it is assumed that pdf is the
true distribution. See

http://hardy.uhasselt.be/Fishtest/GSPRT_approximation.pdf
https://www.cantate.be/Fishtest/GSPRT_approximation.pdf
"""
s_, v_ = stats(pdf)
# replace v_ by its MLE if requested
Expand Down Expand Up @@ -239,7 +239,7 @@ def LLR_normalized_alt(nelo0, nelo1, results):
This function computes the generalized log-likelihood ratio for "results"
using the approximation in

https://hardy.uhasselt.be/Fishtest/normalized_elo_practical.pdf
https://www.cantate.be/Fishtest/normalized_elo_practical.pdf

(see Section 4.2).

Expand Down
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