Time series analysis and subsequent forecasting can be an important part of a process control system. By monitoring key process variables and using them to predict the future behavior of the process, it may be possible to determine the optimal time and extent of control action. We can find applications of this prediction also in the control of the Centralized Heat Supply System (CHSS), especial...

The wages time series are in fact stochastic in which successive observations are dependent and can be represented by a linear combination of independent random variables , , 1 − t t ε ε ... . If the successive observations are highly dependent, we should use in model past values of the time series variable and (or) current and past values of the error terms { t ε }. There are available techniq...

The financial market is a complex system with chaotic behavior that can lead to wild swings within the system. This drive into variety of interesting phenomenon such as phase transitions, bubbles, and crashes, so on. Of interest in modelling identifying distribution stylized facts particular time series, determine if volatility present, resulting risk contagion. Regression has been used this st...