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Quasinormal distributions and expansion at the mode
dc.contributor.authorTomozawa, Yukioen_US
dc.date.accessioned2006-09-11T15:42:21Z
dc.date.available2006-09-11T15:42:21Z
dc.date.issued1974-09en_US
dc.identifier.citationTomozawa, Yukio; (1974). "Quasinormal distributions and expansion at the mode." Journal of Statistical Physics 11(3): 195-205. <http://hdl.handle.net/2027.42/45129>en_US
dc.identifier.issn0022-4715en_US
dc.identifier.issn1572-9613en_US
dc.identifier.urihttps://hdl.handle.net/2027.42/45129
dc.description.abstractThe Gram-Charlier series of type A is discussed in terms of deviants which are related to moments in a way similar to the way Hermite polynomials are related to the powers. Distribution functions are also expressed in terms of the mode and moments (cumulants or deviants), which are useful expansions when the distributions are approximately normal. It is shown that such expansions as well as the Gram-Charlier series are valid asymptotically for discrete distributions defined on the semiinfinite interval [0, ∞].en_US
dc.format.extent351667 bytes
dc.format.extent3115 bytes
dc.format.mimetypeapplication/pdf
dc.format.mimetypetext/plain
dc.language.isoen_US
dc.publisherKluwer Academic Publishers-Plenum Publishers; Plenum Publishing Corporation ; Springer Science+Business Mediaen_US
dc.subject.otherQuantum Physicsen_US
dc.subject.otherPhysicsen_US
dc.subject.otherQuasinormal Expansionen_US
dc.subject.otherDeviantsen_US
dc.subject.otherCumulantsen_US
dc.subject.otherModeen_US
dc.subject.otherStatistical Physicsen_US
dc.subject.otherGram-Charlier Series of Type Aen_US
dc.subject.otherMomentsen_US
dc.subject.otherPhysical Chemistryen_US
dc.subject.otherMathematical and Computational Physicsen_US
dc.titleQuasinormal distributions and expansion at the modeen_US
dc.typeArticleen_US
dc.subject.hlbsecondlevelPhysicsen_US
dc.subject.hlbsecondlevelMathematicsen_US
dc.subject.hlbtoplevelScienceen_US
dc.description.peerreviewedPeer Revieweden_US
dc.contributor.affiliationumRandall Laboratory of Physics, The University of Michigan, Ann Arbor, Michiganen_US
dc.contributor.affiliationumcampusAnn Arboren_US
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/45129/1/10955_2005_Article_BF01010217.pdfen_US
dc.identifier.doihttp://dx.doi.org/10.1007/BF01010217en_US
dc.identifier.sourceJournal of Statistical Physicsen_US
dc.owningcollnameInterdisciplinary and Peer-Reviewed


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