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In general, convention for Statistics and Monte Carlo is as following:
$\mu$ vs $m$, and $\sigma$ vs $s$ For example,
mu = 0.0 sigma = 1.0 v = np.random.normal(mu, sigma, 1000)
m = np.mean(v) s = np.std(v)
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In general, convention for Statistics and Monte Carlo is as following:
For example,
distribution parameters, in Greek
mu = 0.0
sigma = 1.0
v = np.random.normal(mu, sigma, 1000)
Sampling parameters, in Latin
m = np.mean(v)
s = np.std(v)
The text was updated successfully, but these errors were encountered: