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A simple and efficient methodology to approximate a general non-Gaussian stationary stochastic process by a translation process

✍ Scribed by M.D. Shields; G. Deodatis; P. Bocchini


Book ID
113862788
Publisher
Elsevier Science
Year
2011
Tongue
English
Weight
573 KB
Volume
26
Category
Article
ISSN
0266-8920

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A necessary and su cient condition is given to reduce a non-stationary random process {Z(t): t ∈ T βŠ† R} to stationarity via a bijective di erentiable time deformation so that its correlation function r(t; t ) depends only on the di erence (t ) -(t) through a stationary correlation function R: r(t; t