Building a Business Time-series Forecasting System With the Intervention Analysis of Japanese Yen Exchange Rate Behavior

Correspondence should be addressed to Salah Badraoui, [email protected] Received 11 July 2009; Accepted 5 January 2010.. Academic Editor:

This paper presents a data adaptive approach for the analysis of climate variability using bivariate empirical mode decomposition BEMD.. The time series of climate factors:

Moreover, to obtain the time-decay rate in L q norm of solutions in Theorem 1.1, we first find the Green’s matrix for the linear system using the Fourier transform and then obtain

Numerical simulations of the work [8] showed that the behavior of such system can become extremely complicated as the time delay is increased, with the long-time behavior changing

Therefore, motivated by the impact of topological structures and the delays on the dynamics of the networks, this paper mainly focuses on the effect of delays on inner

Theorem 4.2 states the global existence in time of weak solutions to the Landau-Lifshitz system with the nonlinear Neumann Boundary conditions arising from the super-exchange and

The purpose of this paper is analyze a phase-field model for which the solid fraction is explicitly functionally dependent of both the phase-field variable and the temperature

For further analysis of the effects of seasonality, three chaotic attractors as well as a Poincar´e section the Poincar´e section is a classical technique for analyzing dynamic