Quality assessment of the preparation of reference materials of moist solid substances
https://doi.org/10.20915/2077-1177-2019-15-2-25-38
Abstract
In this article considers the models of random parameter and random walk as alternative approaches for estimating the mean standard deviation associated with heterogeneity during both the evaluation of the metrological characteristics of reference materials, 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 the overall mean, standard deviation, standard deviation of the mean and 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.
About the Authors
S. V. Medvedevskikh
Ural Research Institute for Metrology
Russian Federation
Russian Federation
Sergei V. Medvedevskikh - Ph. D. (Engineering), Director UNIIM.
4 Krasnoarmeyskaia St., Ekaterinburg, 620075
M. Yu. Medvedevskikh
Ural Research Institute for Metrology
Russian Federation
Russian Federation
Maria Yu. Medvedevskikh - Ph. D. (Engineering), Head of Laboratory for Moisture Measurement and Certified Reference Materials, Researcher ID: G-6171-2017
4 Krasnoarmeyskaia St., Ekaterinburg, 620075
M. P. Krasheninina
Ural Research Institute for Metrology
Russian Federation
Russian Federation
Maria P. Krasheninina - Ph. D. (Engineering), Deputy Head of the Laboratory for Moisture Measurement and Certified Reference Materials, Researcher ID: B-8302-2019
4 Krasnoarmeyskaia St., Ekaterinburg, 620075
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Review
For citations:
Medvedevskikh S.V., Medvedevskikh M.Yu., Krasheninina M.P. Quality assessment of the preparation of reference materials of moist solid substances. Measurement Standards. Reference Materials. 2019;15(2):25-38. (In Russ.) https://doi.org/10.20915/2077-1177-2019-15-2-25-38
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