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This method, which is akin to a moving average, estimates the events/exposure rate at each time point by a local weighted mean of the observations.
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Specifically, this factor will be considered bullish if the five-week moving average estimate is above the 21-week moving average.
Table 2 lists percent changes in time-domain HRV indices for 10,000 particle/cm NC0.02 1 exposures at 1-hr to 4-hr moving averages estimated by the mixed-effects models for the young and the elderly panels, respectively.
Table 3 lists percent changes in frequency-domain HRV indices for 10,000-particle/cm NC0.02 1 exposures at 1-hr to 4-hr moving averages estimated by the mixed-effects models for the young and the elderly panels, respectively.
Operational dynamic parameters obtained through auto-regressive moving average model estimates from machining tests under stable and unstable conditions was used to characterise the performance.
When the temperature was modeled using a polynomial lag type instead of the moving average, the estimated relative risk for the cumulative effect of rainfall increased from 3.61 (95% CI: 1.69, 7.72) to 5.02 (95% CI: 2.13, 11.8).
Autoregressive integrated moving average (ARIMA) regressions estimated the effect of inflation-adjusted gasoline price on motorcycle sales and logistic regressions estimated odds ratios (ORs) between new and old motorcycle fatalities when gasoline prices increase.
We therefore estimated cluster-specific estimates of biting rate and sporozoite rate by comparing direct estimates for each cluster with an expected valley-wide mean for that point in time, obtained by temporal smoothing with centred moving averages of estimates from all the clusters.
Recently, Zhou et al. [6] studied the precise asymptotics of a special kind of statistics, which includes the U-statistics, Von-Mises statistics, linear processes, moving average processes, error variance estimates in linear models and power sums.
Open image in new window Fig. 3 Spatial distribution of soil moisture estimated from moving average at limiting distance.
The process parameters of auto-regressive moving average exogenous (ARMAX) model were estimated by the recursive least squares (RLS) method with self-varying forgetting factor.
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