Sequential Detection of Changes in Stochastic Systems
Abstract
The paper deals with the analysis of sequential detecting of the changes occurring in etochastic signals and systems properties. The author investigates the properties of a cumulative sum algorithm and its utilization in the models of stochastic signals of the autoregressive moving average type (ARMA).