CUSUM multi-chart based on nonparametric likelihood approach for detecting unknown abrupt changes and its application for network data
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Publication:3390354
DOI10.1080/00949655.2021.1941017OpenAlexW3175894314MaRDI QIDQ3390354
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Publication date: 24 March 2022
Published in: Journal of Statistical Computation and Simulation (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/00949655.2021.1941017
Cites Work
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- Nonparametric control chart based on change-point model
- Sequential analysis. Tests and confidence intervals
- Signed sequential rank CUSUMs
- A generalized EWMA control chart and its comparison with the optimal EWMA, CUSUM and GLR schemes.
- Using the generalized likelihood ratio statistic for sequential detection of a change-point
- Nonparametric maximum likelihood approach to multiple change-point problems
- Control Charts for Multivariate Processes
- A spatial rank-based multivariate EWMA control chart
- Empirical Non-Parametric Control Charts: Estimation Effects and Corrections
- A Nonparametric Procedure for Process Control Based on Within-Group Ranking
- Ideal spatial adaptation by wavelet shrinkage
- Powerful Goodness-of-fit Tests Based on the Likelihood Ratio
- Detection of changes in a random financial sequence with a stable distribution
- Detection and Diagnosis of Unknown Abrupt Changes Using CUSUM Multi-Chart Schemes
- A non parametric CUSUM control chart based on the Mann–Whitney statistic
- Procedures for Reacting to a Change in Distribution
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