mvsdist(data)
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.
Input array. Converted to 1-D using ravel. Requires 2 or more data-points.
Distribution object representing the mean of the data.
Distribution object representing the variance of the data.
Distribution object representing the standard deviation of the data.
'Frozen' distributions for mean, variance, and standard deviation of data.
from scipy import stats
data = [6, 9, 12, 7, 8, 8, 13]
mean, var, std = stats.mvsdist(data)
mean.mean()
mean.interval(0.95)
mean.std()
The following pages refer to to this document either explicitly or contain code examples using this.
scipy.stats._morestats:bayes_mvs
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