A window-limited generalized likelihood ratio test for monitoring Poisson processes with linear drifts
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Publication:5222259
DOI10.1080/00949655.2014.945933zbMath1457.62392OpenAlexW2073268151MaRDI QIDQ5222259
Lianjie Shu, Honghao Zhao, Kwok-Leung Tsui
Publication date: 1 April 2020
Published in: Journal of Statistical Computation and Simulation (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/00949655.2014.945933
Applications of statistics in engineering and industry; control charts (62P30) Sequential statistical analysis (62L10)
Cites Work
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- Adaptive CUSUM procedures with Markovian mean estimation
- Sequential change-point detection with likelihood ratios
- Using the generalized likelihood ratio statistic for sequential detection of a change-point
- Early detection of a change in Poisson rate after accounting for population size effects
- Counted Data CUSUM's
- A generalized likelihood ratio approach to the detection and estimation of jumps in linear systems
- Efficient recursive algorithms for detection of abrupt changes in signals and control systems
- Information bounds and quick detection of parameter changes in stochastic systems
- The Fitting of Power Series, Meaning Polynomials, Illustrated on Band-Spectroscopic Data
- Early warning CUSUM plans for surveillance of negative binomial daily disease counts
- An approach to the probability distribution of cusum run length
- CONTINUOUS INSPECTION SCHEMES
- Robust Statistics
- A simple change detection scheme.