scipy.stats.sampling.TransformedDensityRejection.

ppf_hat#

TransformedDensityRejection.ppf_hat(u)#

評估帽子分佈的 CDF 反函數在 u 的值。

參數:

uarray_like: 百分位數陣列

回傳:

ppf_hatarray_like: 對應給定百分位數的分位數陣列。

範例

>>> 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)