statsmodels.nonparametric.kernels_asymmetric.kernel_cdf_invgauss¶
- statsmodels.nonparametric.kernels_asymmetric.kernel_cdf_invgauss(x, sample, bw)[source]¶
Inverse gaussian kernel for cumulative distribution, cdf, estimation.
- Parameters:
- xarray_like,
float
Points for which density is evaluated.
x
can be scalar or 1-dim.- sample
ndarray
, 1-d Sample from which kde is computed.
- bw
float
Bandwidth parameter, there is currently no default value for it.
- xarray_like,
- Returns:
Components
for
kernel
estimation
References
[1]Scaillet, O. 2004. “Density Estimation Using Inverse and Reciprocal Inverse Gaussian Kernels.” Journal of Nonparametric Statistics 16 (1–2): 217–26. https://doi.org/10.1080/10485250310001624819.