nonlinear time series analysis
Nonlinear time series analysis refers to the statistical methods and techniques used to study and understand complex patterns and relationships within time series data that do not follow a linear trend or predictable sequence.
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Related Concepts (24)
- autoregressive integrated moving average (arima) modeling
- chaos theory
- cluster analysis of time series data
- fractal analysis
- long-range dependence
- multifractal analysis
- multiscale analysis
- multivariate time series analysis
- nonlinear dynamics
- nonlinear forecasting methods
- nonlinear maps
- nonlinear oscillations
- nonlinear regression models
- nonlinear stochastic models
- nonlinear time series modeling techniques
- nonlinear transformations
- phase space reconstruction
- recurrence analysis
- rescaled range analysis
- self-similarity
- stationarity and nonstationarity
- temporal patterns and cycles
- time series analysis
- wavelet analysis
Similar Concepts
- correlation in time series analysis
- deterministic time series analysis
- fractal time series analysis
- non-linear dynamics
- nonlinear correlation
- nonlinear data analysis
- nonlinear data modeling
- nonlinear differential equations
- nonlinear dynamical systems
- nonlinear equations
- nonlinear modeling
- nonlinear regression
- nonlinear stability analysis
- nonlinear systems
- time series regression