... to ensure that the positive impact of lending on financial risk is not compromised. For disparate time periods of loan data, inherently a manifestation of time series data, predictive regression analysis utilizing classical time series analysis methods like AR, ARIMA, and ARMA proves adept at capturing...

... a rigorous time series analysis methodology, including the ARIMA (Auto Regressive Integrated Moving Average) model, to analyze historical gold price data in the Saudi Arabian market. The approach involves identifying optimal model parameters and assessing forecast accuracy to provide actionable insights...

... complexity characteristics of a tourism system have been explored by using non-linear time series analysis techniques, agent based numerical simulations and by applying complex network science methods (Baggio et al., 2010b ; Baggio and Sainaghi, 2011 ; Scott et al., 2008 ; Cole, 2009...

... machine). Kostas Karamanos can be contacted at: kkaraman@ulb.ac.be © Emerald Group Publishing Limited 2013 Dynamics Time series analysis Dynamical systems Symbolic dynamics Block entropies Lumping The advent of modern era digital computers has revolutionized the tools...

.... Time series analysis Phase (electric) Electrical properties Embedding dimension Empirical mode decomposition Intrinsic mode function Correlation coefficient Figure 3 EMD components and residue from Duffing signal Figure 4 logC(r) vs log(r) of Lorenz...

... at: jg_wang2000@163.com © Emerald Group Publishing Limited 2010 Neural nets Loading (physics) Forecasting Electric power systems Time series analysis Short‐term load forecast (STLF) is important to daily operations of a power utility. It is required for unit commitment, energy transfer...

... the systemic yoyo model is initially proposed, this work is the first to develop the foundation of this useful model of systems research. Yi Lin can be contacted at: jeffrey.forrest@sru.edu © Emerald Group Publishing Limited 2010 Cybernetics Time series analysis Motion Modelling...

... size Time series analysis Inventory costs For many important optimization problems, it is non‐deterministic polynomial (NP)‐hard to determine the exact optimal solution. One approach to getting the around NP‐hardness is to look for near optimal solutions. Assume that we have an approximation...

... Limited 2009 Cybernetics Stochastic processes Time series analysis In order to make this paper more compact, some related contents of the second moment process in stochastic analysis and the time scales theory should be narrated first. Let [X(t),t∈T...

... © Emerald Group Publishing Limited 2009 Cybernetics Probability theory Markov processes Monte Carlo methods Time series analysis Many problems in time series analysis can be stated in hidden Markov models (HMM). To fix notation, consider the state‐space model of the HMM (Storvik...

... in the bins outside the Indian embassy where the bound telex exchanges between China and India were waiting to be cast away. He used this unique treasure trove of statistics to show that it was possible to use time series analysis of just two variables (the frequency and length of these respective telex...