statsmodels.nonparametric.kernels_asymmetric.kernel_cdf_beta2

statsmodels.nonparametric.kernels_asymmetric.kernel_cdf_beta2(x, sample, bw)

Beta kernel for cdf estimation with boundary correction.

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

References

[1]

Bouezmarni, Taoufik, and Olivier Scaillet. 2005. “Consistency of Asymmetric Kernel Density Estimators and Smoothed Histograms with Application to Income Data.” Econometric Theory 21 (2): 390–412.

[2]

Chen, Song Xi. 1999. “Beta Kernel Estimators for Density Functions.” Computational Statistics & Data Analysis 31 (2): 131–45. https://doi.org/10.1016/S0167-9473(99)00010-9.