Sequential Nonparametric Tests for a Change in Distribution: An Application to Detecting Radiological Anomalies-Reference-Cited by-同舟云学术

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Sequential Nonparametric Tests for a Change in Distribution: An Application to Detecting Radiological Anomalies

Published:2018-08-07 Issue:526 Volume:114 Page:514-528
ISSN:0162-1459
Container-title:Journal of the American Statistical Association
language:en
Short-container-title:Journal of the American Statistical Association

Author:

Madrid Padilla Oscar Hernan¹,Athey Alex²,Reinhart Alex³^ORCID,Scott James G.⁴

Affiliation:

1. Department of Statistics, University of California, Berkeley, Berkeley, CA

2. Applied Research Laboratories, University of Texas at Austin, Austin, TX

3. Department of Statistics, Carnegie Mellon University, Pittsburgh, PA

4. Department of Statistics and Data Sciences and McCombs School of Business, University of Texas at Austin, Austin, TX

Publisher

Informa UK Limited

Subject

Statistics, Probability and Uncertainty,Statistics and Probability

Link

https://www.tandfonline.com/doi/pdf/10.1080/01621459.2018.1476245

Reference45 articles.

1. Improving network anomaly detection via selective flow-based sampling

2. Multivariate statistical process control charts: an overview

3. Multi-scale and real-time non-parametric approach for anomaly detection and localization

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4. Online non-parametric changepoint detection with application to monitoring operational performance of network devices;Computational Statistics & Data Analysis;2023-01

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