atoti.stats.normal.ppf()#
- atoti.stats.normal.ppf(point, /, *, mean, standard_deviation)#
Percent point function for a normal distribution.
Warning
This feature is
experimental
, its key is"stats.normal.ppf"
.Also called inverse cumulative distribution function.
The ppf is given by the formula
\[\operatorname {{ppf}}(x) = \mu + \sigma \sqrt{{2}} \operatorname {{erf}} ^{{-1}}(2x-1)\]Where \(\mu\) is the mean of the distribution, \(\sigma\) is its standard deviation and \(\operatorname {{erf}}^{{-1}}\) the inverse of the error function.
- Parameters:
point (VariableMeasureConvertible) – The point where the function is evaluated.
mean (NumericMeasureConvertible) – The mean value of the distribution.
standard_deviation (StrictlyPositiveNumber | VariableMeasureConvertible) – The standard deviation of the distribution. Must be positive.
- Return type:
MeasureDefinition