Nonparametric regression with errors-in-all-variables

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Nonparametric regression with errors-in-all-variables (EN)

Ioannides, D.A. (EN)
Alevizos, P.D. (EN)

Article (EN)
Text (EN)

2007-03-12T15:50:25Z
2006


Submitted by Elisavet Chantavaridou ([email protected]) on 2007-03-12T15:50:24Z No. of bitstreams: 1 ioannides_alevizos_timitik_kobotis.pdf: 865827 bytes, checksum: d9e03d75c9cfbc362aee41c8be9bfe83 (MD5) (EN)
D.A. Ioannides; P.D. Alevizos (EN)
In this paper we estimate the nonparametric mean regression function when all the variables of the model are measured with errors. As an application of it we discuss the general nonparametric approach for Stochastic Production Frontier Models. (EN)
Made available in DSpace on 2007-03-12T15:50:25Z (GMT). No. of bitstreams: 1 ioannides_alevizos_timitik_kobotis.pdf: 865827 bytes, checksum: d9e03d75c9cfbc362aee41c8be9bfe83 (MD5) Previous issue date: 2006 (EN)

62G05
60F05
Uniform convergence (EN)
Deconvolution (EN)
Frontier model (EN)
Regression function (EN)
Nonparametric estimation (EN)
Noisy observations (EN)

Πανεπιστήμιο Μακεδονίας Οικονομικών και Κοινωνικών Επιστημών (EL)




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