pyuncertainnumber.pba.imprecise¶

Functions¶

`imprecise_ecdf_sps`(...)	empirical cdf for interval valued data
`imprecise_ecdf`(...)	Empirical cdf for interval-valued data set

Module Contents¶

pyuncertainnumber.pba.imprecise.imprecise_ecdf_sps(s: pyuncertainnumber.pba.intervals.Interval) → tuple[pyuncertainnumber.pba.ecdf.eCDF_bundle, pyuncertainnumber.pba.ecdf.eCDF_bundle]¶

empirical cdf for interval valued data

caveat:: with the use of sps.ecdf, the probability value does not start from 0.

Returns:

left and right cdfs
pbox

pyuncertainnumber.pba.imprecise.imprecise_ecdf(s: pyuncertainnumber.pba.intervals.Interval, output_type: str = 'ecdf') → tuple[pyuncertainnumber.pba.ecdf.eCDF_bundle, pyuncertainnumber.pba.ecdf.eCDF_bundle]¶

Empirical cdf for interval-valued data set

Parameters:

s (Interval) – interval valued data set
output_type (str) – the output type, either “pbox” or “ecdf”

Returns:

A tuple of left and right bounding cdf

Example

>>> rng = np.random.default_rng(seed=42)
>>> precise_data = rng.normal(0, 1, 10)  # precise data case
>>> impre_data = pba.I(lo = precise_data -0.5, hi = precise_data + 0.5)
>>> l, r = imprecise_ecdf(s=impre_data, output_type="ecdf")