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We established time series Poisson regression models to analyze the relationship between weather and HFMD cases adjusting for long-term time trends and seasonality.
Our model development methods followed established time series forecasting procedures.
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Following an initial period for populations to establish, time series for all species were obtained by counting both alive and dead insects each week from every patch (dead insects were then removed).
Establishing time-series of indicator measurements should therefore be prioritized.
We established a time series Poisson regression model that simultaneously included time factors such as time trend, lagged terms of weather predictors, lags of dengue cases as auto regressive terms and we accounted for changes in size of the population by offsetting midyear population.
While there are well-established time-series methods for tracking forest disturbance, these have largely been developed using moderate resolution EO data.
We have used a well-established time-series methodology to assess cigarette consumption over time.
Tracking public opinions with, say, the goal of predicting election outcomes comes with additional challenges to detect political campaigns or even to establish reliable ground truth time series of "opinions".
Though ANN is now an established tool in time series analysis, use of GP in the field of time series forecasting/analysis particularly in the area of Ocean Engineering is relatively new and needs to be explored further.
According to the characteristics of power load data, the statistical parameter model reflecting the running state of the system is established, and the time series of electric load is constructed.
Other problems reported in the analysis of big data include overfitting of models, failure to establish stationarity in time series, and multiple comparison bias.
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CEO of Professional Science Editing for Scientists @ prosciediting.com