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@ -2958,8 +2958,11 @@ class beta_gen(rv_continuous):
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Px /= special.beta(a,b)
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return Px
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def _logpdf(self, x, a, b):
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lPx = (b-1.0)*log1p(-x) + (a-1.0)*log(x)
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lPx -= log(special.beta(a,b))
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logx = where((a==1) & (x==0), 0 , log(x))
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log1mx = where((b==1) & (x==1), 0, log1p(-x))
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lPx = (a-1)*logx + (b-1)*log1mx - log(special.beta(a,b))
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# lPx = (b-1.0)*log1p(-x) + (a-1.0)*log(x)
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# lPx -= log(special.beta(a,b))
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return lPx
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def _cdf(self, x, a, b):
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return special.btdtr(a,b,x)
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@ -4301,7 +4304,8 @@ class gamma_gen(rv_continuous):
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def _pdf(self, x, a):
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return exp(self._logpdf(x, a))
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def _logpdf(self, x, a):
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return (a-1)*log(x) - x - gamln(a)
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logx = where((a==1) & (x==0), 0, log(x))
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return (a-1)*logx - x - gamln(a)
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def _cdf(self, x, a):
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return special.gammainc(a, x)
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def _ppf(self, q, a):
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@ -8473,8 +8477,17 @@ def test_genpareto():
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if __name__ == '__main__':
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import matplotlib
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matplotlib.use()
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#matplotlib.interactive=False
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import matplotlib.pyplot as plt
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plt.ioff()
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aa = rice.pdf(1.0, 0.0)
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a = beta.logpdf(0,1,0.5)
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b = beta.logpdf(0,0.5,1)
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c = gamma._logpdf(0,1)
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x = np.linspace(0,5,40)
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plt.plot(x, gamma.logpdf(x,1))
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plt.show()
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pass
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prb = np.linspace(0,1, 10)
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q = truncnorm.isf(prb,-1., 1., loc=[3],scale=2)
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