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Frontier estimation with local polynomials and high power-transformed data
Journal article   Peer reviewed

Frontier estimation with local polynomials and high power-transformed data

Stéphane Girard and Pierre Jacob
Journal of Multivariate Analysis, Vol.100(8), pp.1691-1705
09/2009

Abstract

Local polynomials estimator Power transform Frontier estimation MSC: 62G05; 62G07; 62G20
We present a new method for estimating the frontier of a sample. The estimator is based on a local polynomial regression on the power-transformed data. We assume that the exponent of the transformation goes to infinity while the bandwidth goes to zero. We give conditions on these two parameters for obtaining almost complete convergence. The asymptotic conditional bias and variance of the estimator are provided and its good performance is illustrated for some finite sample situations.
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