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A class of multi particle Lagrangian stochastic models is considered mimicking 2D turbulence. The maximum likelihood approach is used to estimate their parameters. An error analysis is carried out by Monte Carlo means. The method allows to estimate some physically important characteristics of Lagrangian motion such as relative dispersion and Lyapunov exponent by observing only one particle pair. An illustrative example is given based on real data.
Published Online: --
Published in Print: 2006-11-01
Copyright 2006, Walter de Gruyter
