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Auto-regressive models of non-stationary time series with finite length

机译:具有固定长度的非平稳时间序列的自回归模型

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摘要

To analyze and simulate non-stationary time series with finite length, the statistical characteristics and auto-regressive (AR) models of non-stationary time series with finite length are discussed and studied. A new AR model called the time varying parameter AR model is proposed for solution of non-stationary time series with finite length. The auto-covariances of time series simulated by means of several AR models are analyzed. The result shows that the new AR model can be used to simulate and generate a new time series with the auto-covariance same as the original time series. The size curves of cocoon filaments regarded as non-stationary time series with finite length are experimentally simulated. The simulation results are significantly better than those obtained so far, and illustrate the availability of the time varying parameter AR model. The results are useful for analyzing and simulating non-stationary time series with finite length.
机译:为了分析和模拟有限长度的非平稳时间序列,讨论并研究了有限长度的非平稳时间序列的统计特性和自回归(AR)模型。针对有限长度的非平稳时间序列,提出了一种新的AR模型,称为时变参数AR模型。分析了通过几种AR模型模拟的时间序列的自协方差。结果表明,新的AR模型可用于模拟和生成具有与原始时间序列相同的自协方差的新时间序列。通过实验模拟了有限长度的非平稳时间序列的茧丝的尺寸曲线。仿真结果明显优于迄今获得的结果,并说明了时变参数AR模型的可用性。结果对于分析和模拟有限长度的非平稳时间序列很有用。

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