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ARIMA model

The ARIMA(p,d,q) model is the standard workhorse for univariate time series forecasting. It combines autoregressive terms (past values), differencing to induce stationarity, and moving average terms (past shocks) into a unified linear framework. Developed by Box and Jenkins (1970), it remains one of the most widely applied models in econometrics and applied statistics.

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Autoregressive Integrated Moving Average Model

Taksonoomiline meetodikirje · regression-model / econometrics

Box, G. E. P., & Jenkins, G. M. (1970). Time Series Analysis: Forecasting and Control. Holden-Day. · URL
Hamilton, J. D. (1994). Time Series Analysis. Princeton University Press. · ISBN 978-0691042893

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