Abstract
Random processes that proceed in time with approximate homogeneity and have the form of continuous random oscillations about a certain mean value are widespread. Their probability characteristics do not depend on the choice of time reference point, i.e. are invariant relative to the shift of time. Accordingly, a random function X(t) is defined as stationary, if the probability characteristics of a random function X (t + tâ) at any tâ coincide with the appropriate characteristics of X(t). This occurs only when the mathematical expectation and the variance of a random function do not depend on time, and the correlation function depends only on the difference of arguments (tâ â t). The stationary process may be considered as a process, that proceeds in time without limit In this context the stationary process is similar to the steady-state vibrations, whose parameters are independent of a time reference point.
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Âİ 2003 Springer-Verlag Berlin Heidelberg
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Svetlitsky, V.A. (2003). Stationary Random Functions (Processes). In: Statistical Dynamics and Reliability Theory for Mechanical Structures. Foundations of Engineering Mechanics. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-45826-5_4
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DOI: https://doi.org/10.1007/978-3-540-45826-5_4
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-53657-1
Online ISBN: 978-3-540-45826-5
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