scipy.stats.erlang — SciPy v1.15.2 Manual (original) (raw)
scipy.stats.erlang = <scipy.stats._continuous_distns.erlang_gen object>[source]#
An Erlang continuous random variable.
As an instance of the rv_continuous class, erlang object inherits from it a collection of generic methods (see below for the full list), and completes them with details specific for this particular distribution.
Notes
The Erlang distribution is a special case of the Gamma distribution, with the shape parameter a an integer. Note that this restriction is not enforced by erlang. It will, however, generate a warning the first time a non-integer value is used for the shape parameter.
Refer to gamma for examples.
Methods
| rvs(a, loc=0, scale=1, size=1, random_state=None) | Random variates. |
|---|---|
| pdf(x, a, loc=0, scale=1) | Probability density function. |
| logpdf(x, a, loc=0, scale=1) | Log of the probability density function. |
| cdf(x, a, loc=0, scale=1) | Cumulative distribution function. |
| logcdf(x, a, loc=0, scale=1) | Log of the cumulative distribution function. |
| sf(x, a, loc=0, scale=1) | Survival function (also defined as 1 - cdf, but sf is sometimes more accurate). |
| logsf(x, a, loc=0, scale=1) | Log of the survival function. |
| ppf(q, a, loc=0, scale=1) | Percent point function (inverse of cdf — percentiles). |
| isf(q, a, loc=0, scale=1) | Inverse survival function (inverse of sf). |
| moment(order, a, loc=0, scale=1) | Non-central moment of the specified order. |
| stats(a, loc=0, scale=1, moments=’mv’) | Mean(‘m’), variance(‘v’), skew(‘s’), and/or kurtosis(‘k’). |
| entropy(a, loc=0, scale=1) | (Differential) entropy of the RV. |
| fit(data) | Parameter estimates for generic data. See scipy.stats.rv_continuous.fit for detailed documentation of the keyword arguments. |
| expect(func, args=(a,), loc=0, scale=1, lb=None, ub=None, conditional=False, **kwds) | Expected value of a function (of one argument) with respect to the distribution. |
| median(a, loc=0, scale=1) | Median of the distribution. |
| mean(a, loc=0, scale=1) | Mean of the distribution. |
| var(a, loc=0, scale=1) | Variance of the distribution. |
| std(a, loc=0, scale=1) | Standard deviation of the distribution. |
| interval(confidence, a, loc=0, scale=1) | Confidence interval with equal areas around the median. |