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We assume (qle 4), because otherwise (I_{t}) would be a moving average of order (q-4), not a white noise.
The moving average of order q is given by: x_{text{t}} = varepsilon_{text{t}} + sumlimits_{i = 1}^{q} {theta_{i} varepsilon_{{{text{t}} - i}} } (7 where θ2, θ2, …, θq are the model parameters, and εt, εt−1,… are the white noise terms.
The outcome and pathogen time-series were smoothed using a moving average of order 3 (i.e., the smoothed value of X at week t is (Xt-1 + Xt + Xt+1)/3) in order to adjust for irregular utilisation of health services over the critical Christmas and New Year holiday periods.
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The data was detrended using moving averages of order 13 prior to conducting spectral analysis.
Note that this shortest path can be computed by forward dynamic programming with average complexity of order per mobile node.
After 48 h, the plume had broken into large patches, and most dilutions considerably exceeded 400 with an average dilution of order 1000.
Forest cover in the protected zones expanded only marginally, with annual average increases of order 0.03% and 0.5% in Budongo and Bugoma reserves, respectively.
The moving average process of order q is denoted MA q) and defined by Y t = e t + ∑ i = 1 q θ j e t − j, (6).
An autoregressive moving average model of order (m, n), generally denoted by ARMA (m, n) [3] has the form ϕ Ω X t = θ Ω ε t. (2).
In order to address this issue we propose a moving average filter of order 3.
With 104 spectrograms there is on average of the order of 103 spectrograms contributing to each angular bin which assures that we have good statistics.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com