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dc.contributor.authorNieves, Veronica
dc.contributor.authorWang, Jingfeng
dc.contributor.authorBras, Rafael L.
dc.contributor.authorWood, Elizabeth B.
dc.date.accessioned2011-01-25T16:19:42Z
dc.date.available2011-01-25T16:19:42Z
dc.date.issued2010-09
dc.date.submitted2010-07
dc.identifier.issn0031-9007
dc.identifier.urihttp://hdl.handle.net/1721.1/60702
dc.description.abstractOrganizations of many variables in nature such as soil moisture and topography exhibit patterns with no dominant scales. The maximum entropy (ME) principle is proposed to show how these variables can be statistically described using their scale-invariant properties and geometric mean. The ME principle predicts with great simplicity the probability distribution of a scale-invariant process in terms of macroscopic observables. The ME principle offers a universal and unified framework for characterizing such multiscaling processes.en_US
dc.description.sponsorshipUnited States. Army Research Office (RDECOM ARL) (Grant No. W911NF-07- 1-0126)en_US
dc.language.isoen_US
dc.publisherAmerican Physical Societyen_US
dc.relation.isversionofhttp://dx.doi.org/10.1103/PhysRevLett.105.118701en_US
dc.rightsArticle is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.en_US
dc.sourceAPSen_US
dc.titleMaximum Entropy Distributions of Scale-Invariant Processesen_US
dc.typeArticleen_US
dc.identifier.citationNieves, Veronica et al. "." Physical Review Letters 105.11 (2010): 118701. © 2010 The American Physical Societyen_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Civil and Environmental Engineeringen_US
dc.contributor.approverWood, Elizabeth B.
dc.contributor.mitauthorBras, Rafael L.
dc.contributor.mitauthorWood, Elizabeth B.
dc.relation.journalPhysical Review Lettersen_US
dc.eprint.versionFinal published versionen_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dspace.orderedauthorsNieves, Veronica; Wang, Jingfeng; Bras, Rafael; Wood, Elizabethen
dc.identifier.orcidhttps://orcid.org/0000-0003-0208-1935
mit.licensePUBLISHER_POLICYen_US


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