Optimal alarm-signal generation algorithms for gas analyzers subject to interfering parameters
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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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- 1.S. I. Murav'eva et al.,Handbook on Monitoring Harmful Substances in Air [in Russian], Khimiya, Moscow (1991).Google Scholar
- 2.A. N. Dmitrienko,Izmer. Tekh., No. 8, 57 (1993).Google Scholar
- 3.M. Kendall and A. Stuart,Statistical Deductions and Correlation [Russian translation], Nauka, Moscow (1973).Google Scholar
- 4.E. Leman,Testing Statistical Hypotheses [Russian translation], Nauka, Moscow (1964).Google Scholar
- 5.J. Hayek and Z. Sidak,Rank Test Theory [Russian translation], Nauka, Moscow (1971).Google Scholar
- 6.P. A. Bakut (ed.),Signal Observation Theory [in Russian], Radio i Svyaz', Moscow (1984).Google Scholar
- 7.A. N. Dmitrienko and Yu. N. Nikolaev,Izmer. Tekh., No. 4, 67 (1993).Google Scholar
- 8.I. S. Gradshtein and I. M. Ryzhik,Tables of Integrals, Sums, Series, and Products [in Russian], Nauka, Moscow (1983).Google Scholar
- 9.L. N. Bol'shev and N. V. Smirnov,Tables for Mathematical Statistics [in Russian], Nauka, Moscow (1983).Google Scholar
- 10.A. K. Pankov et al.,Gigiena i Sanitariya, No. 2, 44 (1985).Google Scholar