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Titlebook: Stochastic Modelling in Physical Oceanography; Robert J. Adler,Peter Müller,Boris L. Rozovskii Book 1996 Birkhäuser Boston 1996 Ocean.Ocea

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楼主: proptosis
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https://doi.org/10.1007/978-1-4612-2430-3Ocean; Oceanography; Tide; calculus; equation; function; mixing
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Particles, vortex dynamics and stochastic partial differential equations,Hilbert spaces are derived from the underlying particle system. Moreover, it is shown that spatially homogeneous initial conditions imply that the solution is also spatially homogeneous. I.e., (non-Gaussian!!) homogeneous random fields are derived from an underlying particle system using SPDE methods.
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Sound through the internal wave field,e similar results. Among all other statistical quantities, the probability density function for intensity has received the most attention, but no satisfactory theory has been developed for this or other quantities.
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Nongaussian autoregressive sequences and random fields,al equations with constant coefficients. It is also apparent that nonGaussian autoregressive stationary sequences have a richer and more complicated structure than that of the Gaussian autoregressive stationary sequences.
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