statsmodels.nonparametric.kernels_asymmetric.kernel_cdf_lognorm

statsmodels.nonparametric.kernels_asymmetric.kernel_cdf_lognorm(x, sample, bw)[source]

Log-normal kernel for cumulative distribution, cdf, estimation.

Parameters:
x : array_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.

Return type:

Components for kernel estimation

Notes

Warning: parameterization of bandwidth will likely be changed

References