Base class for null-hypothesis testing.
Methods
cdf(x) | Implementations return the value of the cumulative distribution function. |
dists() | Implementations returns a sequence of the dist_class instances that were used to fit the distribution. |
fit(measure, ds) | Implement to fit the distribution to the data. |
p(x[, return_tails]) | Returns the p-value for values of x. |
rcdf(x) | Implementations return the value of the reverse cumulative distribution function. |
reset() |
Parameters: | tail : {‘left’, ‘right’, ‘any’, ‘both’}
enable_ca : None or list of str
disable_ca : None or list of str
descr : str
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Methods
cdf(x) | Implementations return the value of the cumulative distribution function. |
dists() | Implementations returns a sequence of the dist_class instances that were used to fit the distribution. |
fit(measure, ds) | Implement to fit the distribution to the data. |
p(x[, return_tails]) | Returns the p-value for values of x. |
rcdf(x) | Implementations return the value of the reverse cumulative distribution function. |
reset() |
Implementations return the value of the cumulative distribution function.
Implementations returns a sequence of the dist_class instances that were used to fit the distribution.
Implement to fit the distribution to the data.
Returns the p-value for values of x. Returned values are determined left, right, or from any tail depending on the constructor setting.
In case a FeaturewiseMeasure was used to estimate the distribution the method returns an array. In that case x can be a scalar value or an array of a matching shape.
Implementations return the value of the reverse cumulative distribution function.