Results 51 to 60 of about 945,466 (294)
Non-linear analysis of geomagnetic time series from Etna volcano [PDF]
Nonlinear Processes in Geophysics, 2004 An intensive nonlinear analysis of geomagnetic time series from the magnetic network on Etna volcano was carried out to investigate the dynamical behavior of magnetic anomalies in volcanic areas.
G. Currenti +5 more
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Nonlinear Regressions with Integrated Time Series [PDF]
Econometrica, 2001 Summary: All asymptotic theory is developed for nonlinear regression with integrated processes. The models allow for nonlinear effects from unit root time series and therefore deal with the case of parametric nonlinear cointegration. The theory covers integrable and asymptotically homogeneous functions.
Joon Y. Park, Peter C.B. Phillips
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Advanced Engineering Materials, EarlyView.In this experimental study, the mechanical properties of additively manufactured Ti‐6Al‐4V lattice structures of different geometries are characterized using compression, four point bending and fatigue testing. While TPMS designs show superior fatigue resistance, SplitP and Honeycomb lattice structures combine high stiffness and strength. The resulting
Klaus Burkart +3 more
wiley +1 more source
A New Hybrid Methodology for Nonlinear Time Series Forecasting
Modelling and Simulation in Engineering, 2011 Artificial neural networks (ANNs) are flexible computing frameworks and universal approximators that can be applied to a wide range of forecasting problems with a high degree of accuracy.
Mehdi Khashei, Mehdi Bijari
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An Exponential Autoregressive Time Series Model for Complex Data
Mathematics, 2023 In this paper, an exponential autoregressive model for complex time series data is presented. As for estimating the parameters of this nonlinear model, a three-step procedure based on quantile methods is proposed. This quantile-based estimation technique
Gholamreza Hesamian +3 more
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Advanced Engineering Materials, EarlyView.Carbon nanomaterial‐reinforced epoxy composites exhibit pronounced piezoresistive behavior, enabling intrinsic damage sensing under cyclic and fatigue loading. This review critically compares carbon nanotube and graphene systems, correlating filler content, percolation threshold, and gauge factor with sensing stability and damage evolution.
J. M. Parente +3 more
wiley +1 more source
Multivariate Nonlinear Analysis and Prediction of Shanghai Stock Market
Discrete Dynamics in Nature and Society, 2008 This study attempts to characterize and predict stock returns series in Shanghai stock exchange using the concepts of nonlinear dynamical theory. Surrogate data method of multivariate time series shows that all the stock returns time series exhibit ...
Junhai Ma, Lixia Liu
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Nonlinear mechanical system identification method using auto-regression time series analysis
Nihon Kikai Gakkai ronbunshu, 2015 In this paper, we discussed the geometrically nonlinear system identification technology using auto regressive time series analysis. We focused on the transient response from large amplitude to small amplitude.
Soichiro TAKATA +3 more
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Frontiers in Physiology, 2022 Exploring the presence of nonlinearity through surrogate data testing provides insights into the nature of physical and biological systems like those obtained from heart rate variability (HRV). Short-term HRV time series are of great clinical interest to
Martín Calderón-Juárez +6 more
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Boosting nonlinear additive autoregressive time series [PDF]
Computational Statistics & Data Analysis, 2009 Within the last years several methods for the analysis of nonlinear autoregressive time series have been proposed. As in linear autoregressive models main problems are model identification, estimation and prediction. A boosting method is proposed that performs model identification and estimation simultaneously within the framework of nonlinear ...
Shafik, Nivien, Tutz, Gerhard
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