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This Concept Map, created with IHMC CmapTools, has information related to: Time Series Methods, Autoregressive terms help to define a primary model for Estimation, Time series methods e.g. Other, Time series methods e.g. Smoothing, The autocorrelation function is a basic tool for Identification, Moving average terms help to define a primary model for Estimation, ARIMA uses The partial autocorrelation function, ARIMA uses The autocorrelation function, Differencing generates a stationay process for Estimation, A stationary processes can be obtained through Differencing, Differencing generates a stationary process from a Non-stationary process, Identification involves finding Moving average terms, ARIMA is a method for estimation of A stationary processes, Identification involves finding Autoregressive terms, The partial autocorrelation function is a basic tool for Identification, Time series methods e.g ARIMA, Identification involves finding the degree of Differencing