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The final models included an auto regressive order 1 structure covariance (AR(1)) to count for serial correlation of FEV1 and FEV1/FVC within individuals and an unstructured covariance to account for random variation in the intercept and slope parameters between individuals and healthcare units.
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We improve the accuracy of ARIMA forecaster by optimizing the integrated and auto-regressive order parameters.
An auto-regressive (order-1) covariance structure was used to model the square root transformation of the observed data (31).
Examples of working correlation matrices include: exchangeable, auto-regressive of order 1 (AR(1)), unstructured, and independent correlation structures[ 2].
Return to a system of progressive, rather than regressive, taxation in order to equalise its costs, rather than to penalise the worse off.
An auto regressive model of order one, AR(1), is arguably the simplest version of an ARIMA process.
Two stochastic models simulating three hourly wind speed and direction time series are investigated; encouraging results are obtained with a scheme combining a Markov chain model and a Discrete Auto Regressive model of order 2 (DAR(2)).
where θ(x) is p-order regressive polynomial which is defined in Equation 15.
In this example, we model the noise as a stationary auto-regressive process of order one (AR(1)).
The developed model considered a time series model that incorporates an Auto-regressive parameter of order 1.
The radial field at the outer core surface is advected by core motions governed by an auto-regressive process of order 1.
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