A nonparametric statistical procedure for the detection of marine pollution
DURRIEU, Gilles
Laboratoire de Mathématiques de Bretagne Atlantique [LMBA]
Université de la Nouvelle-Calédonie [UNC]
Laboratoire de Mathématiques de Bretagne Atlantique [LMBA]
Université de la Nouvelle-Calédonie [UNC]
DURRIEU, Gilles
Laboratoire de Mathématiques de Bretagne Atlantique [LMBA]
Université de la Nouvelle-Calédonie [UNC]
< Leer menos
Laboratoire de Mathématiques de Bretagne Atlantique [LMBA]
Université de la Nouvelle-Calédonie [UNC]
Idioma
en
Article de revue
Este ítem está publicado en
Journal of Applied Statistics. 2019, vol. 46, n° 1, p. 119-140
Taylor & Francis (Routledge)
Resumen en inglés
This paper is devoted to the estimation of the derivative of the regres- sion function in fixed-design nonparametric regression. We establish the almost sure convergence as well as the asymptotic normality of our estimate. ...Leer más >
This paper is devoted to the estimation of the derivative of the regres- sion function in fixed-design nonparametric regression. We establish the almost sure convergence as well as the asymptotic normality of our estimate. We also provide concentration inequalities which are useful for small sample sizes. Numerical experiments on simu- lated data show that our nonparametric statistical procedure per- forms very well. We also illustrate our approach on high-frequency environmental data for the study of marine pollution.< Leer menos
Proyecto ANR
Centre de Mathématiques Henri Lebesgue : fondements, interactions, applications et Formation - ANR-11-LABX-0020
Orígen
Importado de HalCentros de investigación