`scipy.stats._morestats:mvsdist`

source: /scipy/stats/_morestats.py:162

Signature

def mvsdist(data)

Summary

'Frozen' distributions for mean, variance, and standard deviation of data.

Parameters

data : array_like: Input array. Converted to 1-D using ravel. Requires 2 or more data-points.

Returns

mdist : "frozen" distribution object: Distribution object representing the mean of the data.
vdist : "frozen" distribution object: Distribution object representing the variance of the data.
sdist : "frozen" distribution object: Distribution object representing the standard deviation of the data.

Notes

The return values from bayes_mvs(data) is equivalent to tuple((x.mean(), x.interval(0.90)) for x in mvsdist(data)).

In other words, calling <dist>.mean() and <dist>.interval(0.90) on the three distribution objects returned from this function will give the same results that are returned from bayes_mvs.

Examples

from scipy import stats
data = [6, 9, 12, 7, 8, 8, 13]
mean, var, std = stats.mvsdist(data)

✓

We now have frozen distribution objects "mean", "var" and "std" that we can examine:

mean.mean()
mean.interval(0.95)
mean.std()

✗

np.float64(1.1952286093343936)

Aliases

scipy.stats.mvsdist