Quality assessment of the preparation of reference materials of moist solid substances

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.