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# Typos in the comments giving the names of two recently added distributions.
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@ -212,7 +212,7 @@ def betavariate(alpha, beta):
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z = expovariate(1.0/beta)
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z = expovariate(1.0/beta)
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return z/(y+z)
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return z/(y+z)
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# -------------------- pareto --------------------
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# -------------------- Pareto --------------------
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def paretovariate(alpha):
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def paretovariate(alpha):
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# Jain, pg. 495
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# Jain, pg. 495
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@ -220,7 +220,7 @@ def paretovariate(alpha):
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u = random()
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u = random()
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return 1.0 / pow(u, 1.0/alpha)
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return 1.0 / pow(u, 1.0/alpha)
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# -------------------- pareto --------------------
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# -------------------- Weibull --------------------
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def weibullvariate(alpha, beta):
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def weibullvariate(alpha, beta):
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# Jain, pg. 499; bug fix courtesy Bill Arms
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# Jain, pg. 499; bug fix courtesy Bill Arms
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