_normal_order_medians#
- normtest.filliben._normal_order_medians(mi)[source]#
This function transforms the uniform order median to normal order median using the standard Normal distribution (\(z_{i}\)).
- Parameters:
- minumpy array
The estimated the uniform order statistic median (\(m_{{i}}\))
- Returns:
- zinumpy array
The statistical order in the standard Normal distribution scale.
See also
Notes
The transformation to the standard Normal scale is done using the equation:
\[z_{i} = \phi^{-1} \left(m_{i} \right)\]where \(m_{i}\) is the uniform statistical order and \(\phi^{-1}\) is the inverse of the standard Normal distribution. The transformation is performed using stats.norm.ppf().
Examples
>>> from normtest import filliben >>> uniform_order = filliben._uniform_order_medians(7) >>> normal_order = filliben._normal_order_medians(uniform_order) >>> print(normal_order) [-1.31487275 -0.74397649 -0.3471943 0. 0.3471943 0.74397649 1.31487275]