ENH: stats: Implement _logpdf, _sf and _isf for nakagami. #12958
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Thanks, @ev-br; what is the small nit? I don't see any other comments. |
ev-br
reviewed
Oct 21, 2020
scipy/stats/_continuous_distns.py
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| # nakagami.pdf(x, nu) = 2 * nu**nu / gamma(nu) * | ||
| # x**(2*nu-1) * exp(-nu*x**2) | ||
| return 2*nu**nu/sc.gamma(nu)*(x**(2*nu-1.0))*np.exp(-nu*x*x) | ||
| return (np.log(2) + nu*np.log(nu) - sc.gammaln(nu) + | ||
| (2*nu - 1)*np.log(x) - nu*x**2) |
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OK, I've changed that, and I've changed nu*np.log(nu) to xlogy(nu, nu).
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Hm, I seem to be unable to use github today. Here's the small optional nit: |
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Merged, thanks Warren. |
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