Abstract
Some general reasons for poor applicability of the statistical approach based on approximation of normal data distribution to interlaboratory test results and analytical measurements at high data dispersion are considered. They include a symmetry of the concentration scale, low-frequency noise, and nonlinear phenomena in atomization processes and chemical reactions. The relationship of 1/f noise and nonlinear phenomena to uncertainty balance, experimental verification of the assigned uncertainty value, ruggedness tests and statistical data distribution are briefly discussed.
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© 1998 Springer-Verlag Berlin Heidelberg
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Serapinas, P. (1998). Uncertainty — statistical approach, 1/f noise and chaos. In: De Bièvre, P., Günzler, H. (eds) Measurement Uncertainty in Chemical Analysis. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-05173-3_11
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DOI: https://doi.org/10.1007/978-3-662-05173-3_11
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-07884-2
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