Proceedings of the 2015 International Conference on Modeling, Simulation and Applied Mathematics

Deconvolution Estimation of the Density for Mixed Measure

Authors
Filali Mostafa, Sabre Rachid
Corresponding Author
Filali Mostafa
Available Online August 2015.
DOI
https://doi.org/10.2991/msam-15.2015.38How to use a DOI?
Keywords
component; density probability; kernel estimate; deconvolution
Abstract
Consider a random variable whose measure probability is the sum of an absolutely continuous part with respect to the Lebesgue measure and a discrete measure. In this work is provided a deconvolution estimator density of the continuous part and also the estimated amplitudes of discrete part when the observations ara taken with a noise error.
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Proceedings
2015 International Conference on Modeling, Simulation and Applied Mathematics
Part of series
Advances in Intelligent Systems Research
Publication Date
August 2015
ISBN
978-94-6252-104-9
ISSN
1951-6851
DOI
https://doi.org/10.2991/msam-15.2015.38How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Filali Mostafa
AU  - Sabre Rachid
PY  - 2015/08
DA  - 2015/08
TI  - Deconvolution Estimation of the Density for Mixed Measure
BT  - 2015 International Conference on Modeling, Simulation and Applied Mathematics
PB  - Atlantis Press
SP  - 168
EP  - 173
SN  - 1951-6851
UR  - https://doi.org/10.2991/msam-15.2015.38
DO  - https://doi.org/10.2991/msam-15.2015.38
ID  - Mostafa2015/08
ER  -