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Stochastic estimation as a statistical tool for approximating turbulent conditional averages
dc.contributor.authorBrereton, Giles Johnen_US
dc.date.accessioned2010-05-06T21:58:03Z
dc.date.available2010-05-06T21:58:03Z
dc.date.issued1992-09en_US
dc.identifier.citationBrereton, G. J. (1992). "Stochastic estimation as a statistical tool for approximating turbulent conditional averages." Physics of Fluids A: Fluid Dynamics 4(9): 2046-2054. <http://hdl.handle.net/2027.42/70314>en_US
dc.identifier.urihttps://hdl.handle.net/2027.42/70314
dc.description.abstractIn this paper, extensions to conventional stochastic estimation techniques are presented, whereby uncertainties in individual estimates may be deduced. Test applications to time series of velocity measurements in a turbulent boundary layer confirm the fidelity of the uncertainty estimation procedure and illustrate how the optimal choice of stochastic estimation model can be strongly dependent on the event upon which the average is conditioned. They also demonstrate how stochastic estimations may be refined to yield more accurate descriptions of particular coherent motions, and how they can reveal the existence of rare events, different in statistical character to their more frequent counterparts, which might otherwise be undetected by conventional stochastic estimation.en_US
dc.format.extent3102 bytes
dc.format.extent1189270 bytes
dc.format.mimetypetext/plain
dc.format.mimetypeapplication/pdf
dc.publisherThe American Institute of Physicsen_US
dc.rights© The American Institute of Physicsen_US
dc.titleStochastic estimation as a statistical tool for approximating turbulent conditional averagesen_US
dc.typeArticleen_US
dc.subject.hlbsecondlevelPhysicsen_US
dc.subject.hlbtoplevelScienceen_US
dc.description.peerreviewedPeer Revieweden_US
dc.contributor.affiliationumDepartment of Mechanical Engineering and Applied Mechanics, The University of Michigan, Ann Arbor, Michigan 48109en_US
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/70314/2/PFADEB-4-9-2046-1.pdf
dc.identifier.doi10.1063/1.858374en_US
dc.identifier.sourcePhysics of Fluids A: Fluid Dynamicsen_US
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dc.owningcollnamePhysics, Department of


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