Analysis of the Forecast Models-Evaluation of Resources Object of Diagnosis Based on the Methods of Statistical Solutions

DOI

10.2991/fred-19.2020.36How to use a DOI?

Keywords

mathematical models; resources, diagnostics, methods of statistical decisions, minimal risk method, the minimum number of erroneous decisions, maximum likelihood method, minimax, Neyman-Pearson method

Abstract

This paper analyzes some of the current models of planning the technical impact on technical systems. Consider the group of mathematical models of changes in the state of the diagnosis object based on statistical methods recognize signs of states of the objects of diagnosis, in particular, on the methods of statistical solutions. Models allow to diagnose the current state of the diagnosis object if one of the selected diagnostic parameter. The results obtained in this work indicate that for one and the same object at the same diagnosis source data, but at different computational methods can be obtained of strikingly different from each other.

Copyright

© 2020, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - N.K. Barsukova
AU  - S.V. Barsukov
AU  - S.V. Pakhomov
PY  - 2020/01
DA  - 2020/01
TI  - Analysis of the Forecast Models-Evaluation of Resources Object of Diagnosis Based on the Methods of Statistical Solutions
BT  - Proceedings of the International Session on Factors of Regional Extensive Development (FRED 2019)
PB  - Atlantis Press
SP  - 170
EP  - 173
SN  - 2352-5428
UR  - https://doi.org/10.2991/fred-19.2020.36
DO  - 10.2991/fred-19.2020.36
ID  - Barsukova2020/01
ER  -