Abstract
Maximum-likelihood estimators are used in algorithms for measuring concentrations in gas analyzers under conditions where there is a priori uncertainty over the parameters of the distribution shown by the random process. Optimal and quasioptimal algorithms are proposed, with the latter simpler to implement. An estimate is made of how much the measurement performance is improved by using those algorithms.
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References
R. T. Franko et al., Gas-Analysis Instruments and Systems [in Russian], Mashinostroenie, Moscow (1983).
Yu. S. Dugov et al., Analysis Methods for Polluted Air [in Russian], Khimiya, Moscow (1984).
S. I. Murav'eva et al., Handbook on Monitoring Air Pollutants [in Russian], Khimiya, Moscow (1991).
I. I. Stentsel' and N. P. Filippenko, Zh. Analit. Khim., 37, 1858 (1982).
A. N. Dmitrienko and Yu. N. Nikolaev, Izmer. Tekh., No. 4, 67 (1993).
M. Kendall and A. Stuart, Statistical Deductions and Correlation [Russian translation], Nauka, Moscow (1973).
Yu. G. Sosulin, Radiotekh. Elektron., 15, No. 12, 2543 (1970).
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Dmitrienko, A.N. Optimal Gas Analyzer Concentration Measurement in the Presence of Parametric Uncertainty. Measurement Techniques 44, 101–107 (2001). https://doi.org/10.1023/A:1010989317866
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DOI: https://doi.org/10.1023/A:1010989317866