mqr.inference.dist.

test_1sample#

mqr.inference.dist.test_1sample(x, test='ad-norm')#

Hypothesis test on sampling distribution.

Null-hypothesis: ‘ad-norm’, ‘ks-norm’

x was sampled from the a normal distribution

Parameters:

xarray_like: Test the distribution of these values.
test{‘ad-norm’, ‘ks-norm’}, optional: ‘ad-norm’

Anderson-Darling normality test. Calls sm..normal_ad.

‘ks-norm’

Kolmogoroc-Smirnov test against the normal distribution. Calls sm..kstest_normal.

‘lf-norm’

Lilliefors test against the normal distribution. Lilliefors test is a Kolmogorov-Smirnov test with estimated parameters. Calls sm..lilliefors.

‘sw-norm’

Shapiro-Wilk normality test. Calls scipy..shaprio.

‘dp-norm’

Dagastino-Pearson normality test. Calls scipy..normaltest.

‘jb-norm’

Jarque-Bera normality test. Can lead to high Type-I error under some conditions, see the discussion on Wikipedia. Calls scipy..jarque_bera.

‘cvm-norm’

Cramer-von Mises test for goodness of fit, applied to the standard Normal CDF. Calls scipy..cramervonmises.

Returns: