Performance of Sequential Tests for Random Data Monitoring Under Distortion
Performance characteristics (error probabilities and expected sample sizes) of the sequential statistical tests are studied. Three models of data are considered in details. The results give a possibility to analyze robustness of the sequential algorithms of random data flow monitoring under contamination.
KeywordsSequential test Error probability Expected number of observations Performance characteristics Markov chain Distortion
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