scipy.stats.rv_continuous.expect¶
- rv_continuous.expect(func=None, args=(), loc=0, scale=1, lb=None, ub=None, conditional=False, **kwds)[source]¶
Calculate expected value of a function with respect to the distribution
The expected value of a function f(x) with respect to a distribution dist is defined as:
ubound E[x] = Integral(f(x) * dist.pdf(x)) lbound
Parameters : func : callable, optional
Function for which integral is calculated. Takes only one argument. The default is the identity mapping f(x) = x.
args : tuple, optional
Argument (parameters) of the distribution.
lb, ub : scalar, optional
Lower and upper bound for integration. default is set to the support of the distribution.
conditional : bool, optional
If True, the integral is corrected by the conditional probability of the integration interval. The return value is the expectation of the function, conditional on being in the given interval. Default is False.
Additional keyword arguments are passed to the integration routine.
Returns : expect : float
The calculated expected value.
Notes
The integration behavior of this function is inherited from integrate.quad.