Informational scaling of variations in the distribution laws of parameters. Applications to the tasks of monitoring and management

The paper studies the effect of changes in the distribution law on the parameter uncertainty state based on informational estimates. The proposed methodology for creating information scales for the rapid assessment of changes in these states. To illustrate the proposed approach, we consider an example of an information scale based on the basis of five model distribution laws that are widely used in various fields. As a result of using the proposed solutions, it is possible to obtain estimates of the transformation of the laws of distributions based on the amount of information generated in this case. The results obtained are illustrative, and the proposed methods and technologies are fairly «simple» and convenient for practical use. The implementation of the approach was carried out on the basis of the methods and developments of the theory of entropy potentials; it has prospects of application for the organization of monitoring and control.