Time-series analysis.
概要
| 作品: | 246 作品在 116 項出版品 116 種語言 | |
|---|---|---|
書目資訊
Chaos in real data :the analysis of non-linear dynamics from short ecological time series /
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Time-Frequency and Time-Scale Methods :Adaptive Decompositions, Uncertainty Principles, and Sampling /
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Ordinal time series analysismethodology and applications in management strategy and policy /
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Permutation complexity in dynamical systemsordinal patterns, permutation entropy and all that /
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Natural time analysisthe new view of time : precursory seismic electric signals, earthquakes and other complex time series /
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Recursive estimation and time-series analysisan introduction for the student and practitioner /
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Practical time-frequency analysisGabor and wavelet transforms with an implementation in S /
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Money, capital formation and economic growthinternational comparison with time series analysis /
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Control of cutting vibration and machining instabilitya time-frequency approach for precision, micro and nano machining /
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Non-linear optical response in atoms, molecules and clustersan explicit time dependent density functional approach /
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Time series modeling for analysis and controladvanced autopilot and monitoring systems /
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Energy time series forecastingefficient and accurate forecasting of evolving time series from the energy domain /
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Indexation and causation of financial marketsnonstationary time series analysis method /
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Ensembles of type 2 fuzzy neural models and their optimization with bio-inspired algorithms for time series prediction
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Advances in time series data methods in applied economic researchInternational Conference on Applied Economics (ICOAE) 2018 /
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Empirical likelihood and quantile methods for time seriesefficiency, robustness, optimality, and prediction /
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Analysis and data-based reconstruction of complex nonlinear dynamical systemsusing the methods of stochastic processes /
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Quantile regression for cross-sectional and time series dataapplications in energy markets using R /
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Enhanced Bayesian network models for spatial time series predictionrecent research trend in data-driven predictive analytics /
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Copula-based Markov models for time series :parametric inference and process control /
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Structural health monitoring by time series analysis and statistical distance measures
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Using artificial neural networks for timeseries smoothing and forecastingcase studies in economics /
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Unsupervised pattern discovery in automotive time seriespattern-based construction of representative driving cycles /
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Continuous time processes for financeswitching, self-exciting, fractional and other recent dynamics /
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