Optimal alarm-signal generation algorithms for gas analyzers subject to interfering parameters
Optimal decision rules have been formulated for generating an alarm signal when a concentration deviates from standard, which are based on maximum likelihood and invariance to displacement and scale. Probability characteristics are evaluated for these rules and estimates are made of the performance loss due to interfering parameters. The decision statistics are also used in concentration measurement.
KeywordsPhysical Chemistry Analytical Chemistry Concentration Measurement Decision Rule Generation Algorithm
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