Sentence examples for time series modelling from inspiring English sources

From that time, ARIMA models have been very popular in time series modelling for long time.

As the data increase over time, it may be appropriate to include trend or seasonality analysis, or even some more complicated time series modelling.

Recently, intelligence system approaches such as artificial neural network (ANN) and neuro-fuzzy methods have been used successfully for time series modelling.

We can see from Fig. 5a that the preprocessed data obtained by linear clustering method are much smoother than the original data in Fig. 4a, making them more suitable for time series modelling.

Time series modelling approaches have been extensively applied in assessing the impact of climate variables on dengue incidence.

Time series modelling approaches have been applied to estimate the baseline relationships between climate and dengue [ 9, 36, 40, 42, 50, 51] (Table  1).

However, the existing time series modeling methods may not meet the requirements of time series stationary.

Table 5 summarize the performance of the discussed univariate time series modeling for forecasting project frequency.

This study presents an approach to time series modeling with Fuzzy Cognitive Maps.

Time series modeling and forecasting is an essential and hard task in financial engineering and optimization.

Time series modeling showed that ITNs use fraction did not reduce incidence of falciparum malaria.