A nonparametric statistical procedure for the detection of marine pollution-Reference-Cited by-同舟云学术

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A nonparametric statistical procedure for the detection of marine pollution

Published:2018-04-09 Issue:1 Volume:46 Page:119-140
ISSN:0266-4763
Container-title:Journal of Applied Statistics
language:en
Short-container-title:Journal of Applied Statistics

Author:

Bercu Bernard¹^ORCID,Capderou Sami¹,Durrieu Gilles²³

Affiliation:

1. Institut de Mathématiques de Bordeaux, Université de Bordeaux, Talence, France

2. Laboratoire de Mathématiques de Bretagne Atlantique, Université de Bretagne Sud, Vannes, France

3. Institut de Sciences Exactes et Appliquées, Université de la Nouvelle-Calédonie, Nouméa, Nouvelle-Calédonie, France

Publisher

Informa UK Limited

Subject

Statistics, Probability and Uncertainty,Statistics and Probability

Link

https://www.tandfonline.com/doi/pdf/10.1080/02664763.2018.1458824

Reference36 articles.

1. Recursive regression estimators with application to nonparametric prediction

2. Weak dependence beyond mixing and asymptotics for nonparametric regression

3. A hidden renewal model for monitoring aquatic systems biosensors

4. Trajectory fitting estimators for SPDEs driven by additive noise

5. Concentration Inequalities for Sums and Martingales

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1. Nonparametric Quantile Regression for Time Series with Replicated Observations and Its Application to Climate Data;Statistical Science;2024-08-01

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