statsmodels.nonparametric.kernels_asymmetric.kernel_pdf_weibull

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

Weibull kernel for density, pdf, estimation.

Based on cdf kernel by Mombeni et al. (2019)

Parameters
xarray_like, float

Points for which density is evaluated. x can be scalar or 1-dim.

samplendarray, 1-d

Sample from which kde is computed.

bwfloat

Bandwidth parameter, there is currently no default value for it.

Returns
Components for kernel estimation

References

1

Mombeni, Habib Allah, B Masouri, and Mohammad Reza Akhoond. 2019. “Asymmetric Kernels for Boundary Modification in Distribution Function Estimation.” REVSTAT, 1–27.