SOME DISTINGUISHING CHARACTERISTICS OF THE LINEAR IMMUTABILITY OF CONTINUOUS TIME SERIES VIA BIVARIATE VECTOR VALUED STOCHASTIC PROCESSES

A.I. El-Deosokey, M. A. Ghazal, A.M. Ben Aros
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Abstract

During the process of analyzing the continuous expanded finite Fourier transforms of strictly stable $(i+j)$ vector-valued time series, it is presumed that some of the observations have been misplaced. This is done on the basis of an assumption. This is due to the fact that the method entails looking at continuous extended finite Fourier transforms. This is done so that the findings can be interpreted in a manner that is as precise as is practical given the information that is available. The reason for this is so that the findings can be used to make better decisions. Consequently of this additional data, the continuous Fourier transform will become the focal point of the researchers' achievements. At the present time, the concept of asymptotic moments is garnering a large amount of interest from researchers all around the world. In this investigation we will apply our theoretical study in case study on the subject of Electricity Energy,
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利用二元向量值随机过程研究连续时间序列的线性不变性
在分析严格稳定$(i+j)$向量值时间序列的连续展开式有限傅里叶变换过程中,假定一些观测值错位。这是在假设的基础上完成的。这是因为该方法需要考虑连续扩展有限傅里叶变换。这样做是为了在现有信息的情况下,以一种尽可能准确、切实可行的方式解释调查结果。这样做的原因是这样的发现可以用来做出更好的决定。因此,这些额外的数据,连续傅里叶变换将成为研究人员的成果的焦点。目前,渐近矩的概念引起了国内外研究者的极大兴趣。在这次调查中,我们将把我们的理论研究应用于电力能源的案例研究。
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