In the article the concept of representativeness of the statistical data frame is discussed. Also the statistical measure of representativeness and a method for the quantitative assessment of the degree of representativeness of the general population are proposed. To demonstrate the techniques and methods of application, we consider a case of identifying the amount of statistically reliable sampling in the analysis of polymer composite surface’s SEM-images.
In this article we propose a method of performing arithmetic operations on variables with unknown distribution. The approach to the evaluation results of arithmetic operations can select probability intervals of the algebraic equations and their systems solutions, of differential equations and their systems in case of histogram evaluation of the empirical density distributions of random parameters.
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