estimator.prob.gaussian_cdf#
- estimator.prob.gaussian_cdf(mu, sigma, t)[source]#
Compute the cdf of a continuous gaussian random variable with mean mu and standard deviation sigma (i.e. computes Pr(X <= t), where X is a gaussian random variable).
- Params mu:
the mean of the gaussian random variable.
- Params sigma:
the standard deviation of the gaussian random variable.
- Params t:
the limit at which to calculate the cdf.
- Returns:
the evaluation of the cdf at t.