Reliability forecasting on the base of autoregression models for infocommunication systems
https://doi.org/10.34680/2076-8052.2021.2(123).82-86
Abstract
The solution to the problems of calculating the reliability indicators of infocommunication systems is based, as a rule, on statistical data. Their collection and processing are carried out by the monitoring system. To obtain the most accurate results of indicators calculation, it is necessary to conduct a large number of measurements. The article aims to make a forecast the parameters based on autoregressive models. The article considers methods of regression analysis and solves a problem indicators estimation based on experimental values for data trend forecasting. As a result, a solution to the problem of identifying the time series of variables by least squares method is proposed.
About the Author
A. A. Sherstneva
Сибирский государственный университет телекоммуникаций и информатики
Russian Federation
Russian Federation
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Review
For citations:
Sherstneva A.A. Reliability forecasting on the base of autoregression models for infocommunication systems. Title in english. 2021;(2(123)):82-86. (In Russ.) https://doi.org/10.34680/2076-8052.2021.2(123).82-86
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