A binary control chart to detect small jumps

DOI10.1080/02331880802379405zbMath1278.62180arXiv1001.1841OpenAlexW2082596747MaRDI QIDQ3396489

Ansgar Steland, Ewaryst Rafajłowicz

Publication date: 18 September 2009

Published in: Statistics (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1001.1841

zbMATH Keywords

time seriesimage processingsequential analysisFCLTengineering statistics

Mathematics Subject Classification ID

Applications of statistics in engineering and industry; control charts (62P30)

Related Items (5)

Vertically Weighted Averages in Hilbert Spaces and Applications to Imaging: Fixed-Sample Asymptotics and Efficient Sequential Two-Stage Estimation ⋮ Decoupling change-point detection based on characteristic functions: methodology, asymptotics, subsampling and application ⋮ M-Procedures for Detection of Changes for Dependent Observations ⋮ Sequential Data-Adaptive Bandwidth Selection by Cross-Validation for Nonparametric Prediction ⋮ On the accuracy of fixed sample and fixed width confidence intervals based on the vertically weighted average

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Sequential control of time series by functionals of kernel-weighted empirical processes under local alternatives
• On the distribution of the clipping median under a mixture model
• Alarm rates for quality control charts
• Nonlinear Image Processing and Filtering: A Unified Approach Based on Vertically Weighted Regression
• Sequentially Updated Residuals and Detection of Stationary Errors in Polynomial Regression Models
• A Control Chart Based on Cumulative Scores
• Probability for Statisticians
• On detecting jumps in time series: nonparametric setting

This page was built for publication: A binary control chart to detect small jumps