Abstract
In this article, the models of random parameter and random walk are considered as alternative approaches for estimating the mean standard deviation associated with heterogeneity during both the evaluation of the metrological characteristics of reference materials, as well as the quality control of samples prepared from moist solid substances. For the random parameter and random walk models, the behaviour of the basic statistical criteria is described, including, overall mean, standard deviation, standard deviation of the mean and autocorrelation function, obtained both for real experimental data and theoretical measurement results simulated according to the Monte Carlo method. It is shown that the application of the ANOVA method for evaluating the standard deviation associated with heterogeneity should be additionally validated for the materials, whose basic statistical criteria fall under the random walk model.
Maria Yu. Medvedevskikh—ResearcherID: G-6171-2017
Maria P. Krasheninina—ResearcherID: B-8302-2019
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Author Contribution Statement
Medvedevskikh S. V.: Concept and methodology of the research, data analysis. Literature review, data curation. Literature review of sources published in foreign languages.
Medvedevskikh M. Yu.: Concept and initiation of the research. Critical analysis and revision of the text. Literature review of sources published in foreign languages.
Krasheninina M. P.: Preparation of the manuscript draft, computer work with the text, preparation of the final text. Collection of experimental data.
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One of the authors is a member of the Editorial Board of these proceedings.
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Medvedevskikh, S.V., Medvedevskikh, M.Y., Krasheninina, M.P. (2020). Quality Assessment of the Preparation of Reference Materials of Moist Solid Substances. In: Medvedevskikh, S., Kremleva, O., Vasil’eva, I., Sobina, E. (eds) Reference Materials in Measurement and Technology. RMMT 2018. Springer, Cham. https://doi.org/10.1007/978-3-030-32534-3_16
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DOI: https://doi.org/10.1007/978-3-030-32534-3_16
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