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GRCA has become one of the important models in the nonlinear time series context.
In a time series context, firms revise downward their investment plans and, consequently, their demand for loans.
This paper describes different models which are used for forecasting in the time series context of petroleum engineering.
GRCA is designed for investigating the result of random perturbations of a dynamical system in engineering and economic data, and it has become one of the important models in the nonlinear time series context.
One such application which comes close to the stratified time series context sought to identify whether the imposition of 20 mph speed restrictions on London residential streets reduced injuries [ 19].
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Extending the monitoring network, especially adding the time-series context, could provide novel appealing opportunities for forest dynamics projection and sustainable management.
Kohonen self-organisation maps are a well know classification tool, commonly used in a wide variety of problems, but with limited applications in time series forecasting context.
Although the fundamental idea on which this method is based, effective summarization of time course data, is transferable to a variety of application domains, the best features describing the time series are context-dependent and may differ depending on the application domain.
Here, we develop a method that is based on the mathematical principle of the sample entropy and enables the capture of sequential information of a time series in the context of spatial dependence provided by the binary-level co-occurrence matrix of a recurrence plot.
In order to use FCA, we converted simulated time series into a formal context, specifically a transition context Ksim introduced in [ 18].
In this context, time series prediction method is the commonly used one for building models for early warning.
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CEO of Professional Science Editing for Scientists @ prosciediting.com