e scalar shape parameters (if any); e.g., the `pdf` evaluated
    at a scalar argument must return a scalar.
weights : sequence of floats, optional
    The corresponding probabilities of selecting each random variable.
    Must be non-negative and sum to one. The default behavior is to weight
    all components equally.

Attributes
----------
components : sequence of `ContinuousDistribution`
    The underlying instances of `ContinuousDistribution`.
weights : ndarray
    The corresponding probabilities of selecting each random variable.

Methods
-------
support

sample

moment

mean
median
mode

variance
standard_deviation

skewness
kurtosis

pdf
logpdf

cdf
icdf
ccdf
iccdf

logcdf
ilogcdf
logccdf
ilogccdf

entropy

Notes
-----
The following abbreviations are used throughout the documentation.

- PDF: probability density function
- CDF: cumulative distribution function
- CCDF: complementary CDF
- entropy: differential entropy
- log-*F*: logarithm of *F* (e.g. log-CDF)
- inverse *F*: inverse function of *F* (e.g. inverse CDF)

References
----------
.. [1] Mixture distribution, *Wikipedia*,
       https://en.wikipedia.org/wiki/Mixture_distribution

c