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Power‐law distribution
dc.contributor.authorNewman, Mark
dc.date.accessioned2017-10-05T18:17:26Z
dc.date.available2018-11-01T16:42:00Zen
dc.date.issued2017-08
dc.identifier.citationNewman, Mark (2017). "Power‐law distribution." Significance 14(4): 10-11.
dc.identifier.issn1740-9705
dc.identifier.issn1740-9713
dc.identifier.urihttps://hdl.handle.net/2027.42/138264
dc.publisherF. Rouge
dc.publisherWiley Periodicals, Inc.
dc.titlePower‐law distribution
dc.typeArticleen_US
dc.rights.robotsIndexNoFollow
dc.subject.hlbsecondlevelStatistics (Mathematical)
dc.subject.hlbtoplevelScience
dc.description.peerreviewedPeer Reviewed
dc.description.bitstreamurlhttps://deepblue.lib.umich.edu/bitstream/2027.42/138264/1/sign1050.pdf
dc.identifier.doi10.1111/j.1740-9713.2017.01050.x
dc.identifier.sourceSignificance
dc.identifier.citedreferenceLimpert, E. and Stahel, W. A. ( 2017 ) The log‐normal distribution. Significance, 14 ( 1 ), 8 – 9.
dc.identifier.citedreferenceMuniruzzaman, N. M. ( 1957 ) On measures of location and dispersion and tests of hypotheses in a Pareto population. Bulletin of the Calcutta Statistical Association, 7, 115 – 123.
dc.identifier.citedreferenceHill, M. ( 1975 ) A simple general approach to inference about the tail of a distribution. Annals of Statistics, 3, 1163 – 1174.
dc.identifier.citedreferenceClauset, A., Shalizi, C. R. and Newman, M. E. J. ( 2009 ) Power‐law distributions in empirical data. SIAM Review, 51, 661 – 703.
dc.identifier.citedreferenceNewman, M. E. J. ( 2005 ) Power laws, Pareto distributions and Zipf’s law. Contemporary Physics, 46, 323 – 351.
dc.identifier.citedreferencePareto, V. ( 1896 ) Cours d’Economie Politique. Lausanne: F. Rouge.
dc.identifier.citedreferenceZipf, G. K. ( 1949 ) Human Behaviour and the Principle of Least Effort. Cambridge, MA: Addison‐Wesley.
dc.identifier.citedreferenceMitzenmacher, M. ( 2004 ) A brief history of generative models for power law and lognormal distributions. Internet Mathematics 1, 226 – 251.
dc.identifier.citedreferenceYeomans, J. M. ( 1992 ) Statistical Mechanics of Phase Transitions. Oxford: Oxford University Press.
dc.identifier.citedreferenceVuong, Q. H. ( 1989 ) Likelihood ratio tests for model selection and non‐nested hypotheses. Econometrica, 57, 307 – 333.
dc.owningcollnameInterdisciplinary and Peer-Reviewed


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