Fast computing for dynamic screening systems when analyzing correlated data

DOI10.1080/00949655.2018.1552273OpenAlexW2902038831WikidataQ128878978 ScholiaQ128878978MaRDI QIDQ5107330

Lu You, Peihua Qiu

Publication date: 27 April 2020

Published in: Journal of Statistical Computation and Simulation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00949655.2018.1552273

zbMATH Keywords

correlationstatistical process controlcomputing timesequential monitoringdata de-correlationsprint length

Mathematics Subject Classification ID

Statistics (62-XX)

Related Items (2)

Control charts for dynamic process monitoring with an application to air pollution surveillance ⋮ Big Data? Statistical Process Control Can Help!

Cites Work

• Unnamed Item
• Decision theoretic optimality of the cusum procedure
• Distribution-free cumulative sum control charts using bootstrap-based control limits
• Optimal stopping times for detecting changes in distributions
• Resampling methods for dependent data
• Efficient semiparametric regression for longitudinal data with nonparametric covariance estimation
• Image Processing and Jump Regression Analysis
• Local polynomial regression analysis of clustered data
• CONTINUOUS INSPECTION SCHEMES

This page was built for publication: Fast computing for dynamic screening systems when analyzing correlated data