Sentence examples for many time series from inspiring English sources

Affected by various influencing factors, many time series analysis methods are used to predict irrigation water.

Symbolic Aggregate approXimation (SAX) as a major symbolic representation has been widely used in many time series data mining applications.

Many time series contain periods, e.g. seasonal changes in weather time series or electricity usage at day and night time.

Although ANN produces accurate forecasts in many time series implementations, there are still some problems with using ANN.

In practice, in many time series the non-useful part is the largest component.

However, in practice, many time series data contain a seasonal periodic component, which repeat every observation.

For example, an autoregressive model of order 1 has been employed in many time-series analysis, assumes that the correlations between the abilities decrease as the distances between the measurement occasions increase.

However, in that study, many time-series data were not long enough to be conclusive.

Unlike many time-series studies with continuous daily data, not all lags refer to the same outcome days.

We are interested in cases in which there are many time-series variables present and we wish to determine the causal relationships between them.

Many time-series studies have found associations between daily ambient air pollution levels and acute exacerbations of cardiovascular and respiratory diseases [ 1- 3].