StoNED¶

class pystoned.StoNED.StoNED(model)[source]¶

Stochastic nonparametric envelopment of data (StoNED)

__init__(model)[source]¶: StoNED model: The input model for residual decomposition

get_stoned(method='MOM')[source]¶

Parameters:: method (String, optional) – RED_MOM (Method of moments) or RED_QLE (Quassi-likelihood estimation). Defaults to RED_MOM.

Calculate the StoNED frontier

get_technical_inefficiency(method='MOM')[source]¶

Parameters:: method (String, optional) – RED_MOM (Method of moments) or RED_QLE (Quassi-likelihood estimation). Defaults to RED_MOM.

calculate sigma_u, sigma_v, mu, and epsilon value

get_unconditional_expected_inefficiency(method='MOM')[source]¶

Parameters:: method (String, optional) – RED_MOM (Method of moments) or RED_QLE (Quassi-likelihood estimation) or RED_KDE (Kernel deconvolution estimation). Defaults to RED_MOM.