Sentence examples for an integrated moving from inspiring English sources

As the EWMA is based upon an ARIMA 0,1,1), that is an integrated moving average process [ 45, 52], it has been applied to autocorrelated data [ 15], although the majority of studies have used relatively simple non-seasonal autoregressive models (AR(1) or AR(2)) with fixed λ (usually 0.2, which is the default for the SPC model of Statgraphics software).

For example, a hybrid architecture comprising an autoregressive integrated moving average model (ARIMA) and a neural network is a well-known technique that has recently been shown to give better forecasts by taking advantage of each model's capabilities.

We developed a combined mathematical model using an autoregressive integrated moving average model (ARIMA) and a back propagation neural network (BPNN) to forecast the incidence of hepatitis E. The morbidity data of hepatitis E in Shanghai from 2000 to 2012 were retrieved from the China Information System for Disease Control and Prevention.

Overall, the biweekly and monthly DPOP values were compared with the full set of computed weather parameters and climate indices (listed in Table 1) across a range of lags and then predicted using an optimal form of an autoregressive integrated moving average (ARIMA) model with transfer functions.

Because the time series appears to visually have a moving conditional mean and a moving conditional variance, an ARIMA-ARCH model (where ARIMA is an autoregressive integrated moving average process and ARCH is an autoregressive conditional heteroscedastic model) can be fitted to this time series to observe if it can predict and forecast this wind/solar generation time series.

Pre-exposure temperature data were used to create a baseline to fit an autoregressive integrated moving average (ARIMA) model.

To control for secular trends we used an interrupted-time series with adjustment for autocorrelation using an autoregressive integrated moving average (ARIMA) model as described elsewhere [ 26].

In addition, we tested the robustness of the results using a traditional time series approach, i.e. by fitting an autoregressive integrated moving average (ARIMA) model separately for the time series within each area.

The model used by the MPC algorithm for filtering and prediction is an autoregressive integrated moving average with exogenous input (ARIMAX) model implemented as a linear state space model in innovation form.

In this paper, the high priority traffic is described by an autoregressive integrated moving average (ARIMA) process.

This paper presents an autoregressive integrated moving average (ARIMA) method for demand forecasting of conventional electrical load (CEL) and charging demand of EV (CDE) parking lots simultaneously.