Journal of the Royal Statistical Society Series B (Statistical Methodology) · 1980 · 1.3K citations · 43 references
Natural SciencesEarth SciencesDynamical SystemsTime Series AnalysisVibrationChaos TheoryLimit CyclesNonlinear DynamicsNonlinear VibrationThreshold ModelingTrend AnalysisAutoregressive ModelsCyclical ModelDiscrete-time ModelsLimit Cycle DynamicsLimit Cycle OscillationsNon-linear VibrationThreshold AutoregressionThreshold Autoregressive Models
The notion of a limit cycle, a phenomenon exclusive to nonlinear systems, is central to modeling cyclical data. The authors aim to show that threshold autoregressive models can capture limit cycles and provide a discrete‑time definition. They demonstrate this by proving the models’ generality, interpreting the threshold value, and presenting simulations and real‑data analyses that reveal characteristic nonlinear vibration features.
Summary The notion of a limit cycle, which can only exist in a non-linear system, plays the key role in the modelling of cyclical data. We have shown that the class of threshold autoregressive models is general enough to capture this notion, a definition of which in discrete time is proposed. The threshold value has an interesting interpretation. Simulation results are presented which demonstrate that this new class of models exhibits some well-known features of non-linear vibrations. Detailed analyses of several real data sets are discussed.
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Time Series Analysis: Forecasting and Control
Michael D. Geurts, George E. P. Box, Gwilym M. Jenkins · Journal of Marketing Research · 1977 · 19.3K citations
Computing, Data Science, Forecasting +11
Simple mathematical models with very complicated dynamics
Robert M. May · Nature · 1976 · 6.9K citations
Tien-Yien Li, James A. Yorke · American Mathematical Monthly · 1975 · 1.6K citations