Literature DB >> 26034297

Random sampling of skewed distributions does not necessarily imply Taylor's law.

Youhua Chen1.   

Abstract

Year:  2015        PMID： 26034297      PMCID： PMC4485107          DOI： 10.1073/pnas.1507266112

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN： 0027-8424            Impact factor:   11.205


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  2 in total

1.  A Process-Independent Explanation for the General Form of Taylor's Law.

Authors:  Xiao Xiao; Kenneth J Locey; Ethan P White
Journal:  Am Nat       Date:  2015-06-04       Impact factor: 3.926

2.  Random sampling of skewed distributions implies Taylor's power law of fluctuation scaling.

Authors:  Joel E Cohen; Meng Xu
Journal:  Proc Natl Acad Sci U S A       Date:  2015-04-07       Impact factor: 11.205
  2 in total
  1 in total

1.  Reply to Chen: Under specified assumptions, adequate random samples of skewed distributions obey Taylor's law.

Authors:  Joel E Cohen; Meng Xu
Journal:  Proc Natl Acad Sci U S A       Date:  2015-06-01       Impact factor: 11.205
  1 in total

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