ARIMAsüsteemide
ARIMAsüsteemide is a term that refers to systems related to ARIMA models. ARIMA, which stands for AutoRegressive Integrated Moving Average, is a statistical method used for analyzing and forecasting time series data. These models are a class of linear models that describe an observed time series in terms of its own past values, lagged forecast errors, and a stochastic term. The "AR" part represents the autoregressive component, the "I" represents the integrated component, and the "MA" represents the moving average component. The parameters p, d, and q are used to define an ARIMA model, where p is the order of the autoregressive part, d is the degree of differencing, and q is the order of the moving average part.
ARIMAsüsteemide encompasses the software, algorithms, and methodologies employed to build, implement, and utilize ARIMA models. This