method
Generator.chisquare(df, size=None)
Draw samples from a chi-square distribution.
When df
independent random variables, each with standard normal distributions (mean 0, variance 1), are squared and summed, the resulting distribution is chi-square (see Notes). This distribution is often used in hypothesis testing.
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The variable obtained by summing the squares of df
independent, standard normally distributed random variables:
is chi-square distributed, denoted
The probability density function of the chi-squared distribution is
where is the gamma function,
[1] | NIST “Engineering Statistics Handbook” https://www.itl.nist.gov/div898/handbook/eda/section3/eda3666.htm |
>>> np.random.default_rng().chisquare(2,4) array([ 1.89920014, 9.00867716, 3.13710533, 5.62318272]) # random
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https://docs.scipy.org/doc/numpy-1.17.0/reference/random/generated/numpy.random.Generator.chisquare.html