Automatic detection of the autocorrelation‐type measurement error component

Hangos, Katalin M.; Nagy, Jozef; Leisztner, L.

doi:10.1155/s1463924686000068

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1988

1989

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“…Clearly, there is a practical need to test whether the autocorrelated measurement errors are present both in the preliminary stages of analytical measurement and during routine measurements. A method for detecting this type of measurement error component is covered in reference [5].…”

Section: Remarksmentioning

confidence: 99%

Calibration and measurement control basedon Bayes statistics

Hangos

Leisztner²,

Kárný

1989

Journal of Analytical Methods in Chemistry

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The Bayesian methodology described in this paper has the inherent capability of choosing, from calibration-type curves, candidates which are plausible with respect to measured data, expert knowledge and theoretical models (including the nature of the measurement errors). The basic steps of Bayesian calibration are reviewed and possible applications of the results are described in this paper. A calibration related to head-space gas chromatographic data is used as an example of the proposed method. The linear calibration case has been treated with a log-normal distributed measurement error. Such a treatment of noise stresses the importance of modelling the random constituents of any problem.

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Section: Remarksmentioning

confidence: 99%