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STOCHASTIC ANALYSIS OF GSB PROCESS

机译:GSB过程的随机分析

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摘要

We present a modification (and partly a generalization) of STOPBREAK process, which is the stochastic model of time series with permanent, emphatic fluctuations. The threshold regime of the process is obtained by using, so called, noise indicator. Now, the model, named the General Split-BREAK (GSB) process, is investigated in terms of its basic stochastic properties. We analyze some necessary and sufficient conditions of the existence of stationary GSB process, and we describe its correlation structure. Also, we define the sequence of the increments of the GSB process, named Split-MA process. Besides the standard investigation of stochastic properties of this process, we also give the conditions of its invertibility.
机译:我们对STOPBREAK过程进行了修改(部分概括),它是具有永久性,剧烈波动的时间序列的随机模型。该过程的阈值范围是通过使用所谓的噪声指示器获得的。现在,根据模型的基本随机特性,对名为通用拆分BREAK(GSB)流程的模型进行了研究。我们分析了固定GSB过程存在的一些必要和充分条件,并描述了其相关结构。同样,我们定义了GSB过程的增量顺序,称为Split-MA过程。除了对该过程的随机特性进行标准研究之外,我们还给出了其可逆性的条件。

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