Literature DB >> 14618544

Testing the power law model for discrete size data.

Andrew R Solow1, Christopher J Costello, Michael Ward.   

Abstract

It is sometimes claimed that different types of size data in biology follow a power law. Here, a formal statistical test of the power law for discrete size data is described. The test is based on embedding the power law in the nonparametric family of distributions for which frequency is nonincreasing with size. A parametric bootstrap is used to assess significance. The test is applied to four data sets concerning the frequency of genera of different sizes. The power law is rejected in three out of four cases.

Mesh:

Year:  2003        PMID: 14618544     DOI: 10.1086/378956

Source DB:  PubMed          Journal:  Am Nat        ISSN: 0003-0147            Impact factor:   3.926


  1 in total

1.  Spatial Competition: Roughening of an Experimental Interface.

Authors:  Andrew J Allstadt; Jonathan A Newman; Jonathan A Walter; G Korniss; Thomas Caraco
Journal:  Sci Rep       Date:  2016-07-28       Impact factor: 4.379

  1 in total

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