Sentence examples for predictor time series from inspiring English sources

Exact(1)

* P-value < 0.05, statistically significant In the final model, physician per 100,000 populations, skilled birth attendant and postnatal care coverage were found the only predictor time series variables that had statistically significant association with Maternal Mortality Ratio (Table 8).

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When a user request belonging to a specific priority class arrives, the admission control algorithm uses the time series predictor to forecast the average arrival rate of the class for the next interval, computes the average waiting time for the class for the next interval, and determines if the incoming user request is admitted to the server.

We ran separate models where the predictor was the media time series, shifted up to 6 months after or 6 months before mortality.

All this information could be converted into a set of scalar time-series feeding a predictor model, together with the other time series already used, in order to improve the reliability of the forecast.

As time is used as the predictor, the result is a smoothed time series of the response.

Let X t (h| ℑ t ) be the optimal (i.e., the one which produces the minimum mean squared error (MSE) prediction) h -step predictor of the set of m time series X t i from the time point t, based on the information in ℑ t.

If smoothing or averaging does not seem to be helpful--i.e., if the best predictor of the next value of the time series is simply its previous value--then a random walk model is indicated.

These CWT data, for a long (20 years) learning period, were used in this work for both predictor and predictant, where short (five days) time series of daily CWT sequences were classified by their resultant wind of the next day.

Almost all cortisol-behaviour studies, even prospective ones, have focused on one time series measure as a predictor or correlate of a behavioural measure or outcome.

Fig. 2 reveals time series of weekly weather predictors and dengue cases.

In addition, this paper constructs multiple model fuzzy predictors (MMFPs) corresponding to difference data of original time series, which was able to reflect the various characteristics of the time series to the proposed system.

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