# scipy.stats.sampling.TransformedDensityRejection.ppf_hat

TransformedDensityRejection.ppf_hat(u)

  Evaluate the inverse of the CDF of the hat distribution at u.

  Parameters:
    u array_like

      An array of percentiles

  Returns:
    ppf_hat array_like

      Array of quantiles corresponding to the given percentiles.

  Examples

      >>> from scipy.stats.sampling import TransformedDensityRejection
      >>> from scipy.stats import norm
      >>> import numpy as np
      >>> from math import exp
      >>>
      >>> class MyDist:
      ...     def pdf(self, x):
      ...         return exp(-0.5 * x**2)
      ...     def dpdf(self, x):
      ...         return -x * exp(-0.5 * x**2)
      ...
      >>> dist = MyDist()
      >>> rng = TransformedDensityRejection(dist)
      >>>
      >>> rng.ppf_hat(0.5)
      -0.00018050266342393984
      >>> norm.ppf(0.5)
      0.0
      >>> u = np.linspace(0, 1, num=1000)
      >>> ppf_hat = rng.ppf_hat(u)