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Reuman DC, Zhao L, Sheppard LW, et al. Synchrony affects Taylor's law in theory and data. Proc Natl Acad Sci U S A. 2017;114(26):6788-6793doi: 10.1073/pnas.1703593114.
Reuman, D. C., Zhao, L., Sheppard, L. W., Reid, P. C., & Cohen, J. E. (2017). Synchrony affects Taylor's law in theory and data. Proceedings of the National Academy of Sciences of the United States of America, 114(26), 6788-6793. https://doi.org/10.1073/pnas.1703593114
Reuman, Daniel C, et al. "Synchrony affects Taylor's law in theory and data." Proceedings of the National Academy of Sciences of the United States of America vol. 114,26 (2017): 6788-6793. doi: https://doi.org/10.1073/pnas.1703593114
Reuman DC, Zhao L, Sheppard LW, Reid PC, Cohen JE. Synchrony affects Taylor's law in theory and data. Proc Natl Acad Sci U S A. 2017 Jun 27;114(26):6788-6793. doi: 10.1073/pnas.1703593114. Epub 2017 May 30. PMID: 28559312; PMCID: PMC5495260.
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Proc Natl Acad Sci U S A. 2017 Jun 27;114(26):6788-6793. doi: 10.1073/pnas.1703593114. Epub 2017 May 30.

Synchrony affects Taylor's law in theory and data.

Proceedings of the National Academy of Sciences of the United States of America

Daniel C Reuman, Lei Zhao, Lawrence W Sheppard, Philip C Reid, Joel E Cohen

Affiliations

  1. Department of Ecology and Evolutionary Biology, University of Kansas, Lawrence, KS 66045; [email protected] [email protected].
  2. Kansas Biological Survey, University of Kansas, Lawrence, KS 66047.
  3. Laboratory of Populations, Rockefeller University, New York, NY 10065.
  4. Department of Ecology and Evolutionary Biology, University of Kansas, Lawrence, KS 66045.
  5. The Laboratory, Sir Alister Hardy Foundation for Ocean Science, Plymouth PL1 2PB, United Kingdom.
  6. Marine Institute, Plymouth University, Plymouth PL4 8AA, United Kingdom.
  7. The Laboratory, Marine Biological Association of the United Kingdom, Plymouth PL1 2PB, United Kingdom.
  8. Laboratory of Populations, Rockefeller University, New York, NY 10065; [email protected] [email protected].
  9. The Earth Institute, Columbia University, New York, NY 10027.
  10. Department of Statistics, Columbia University, New York, NY 10027.
  11. Department of Statistics, University of Chicago, Chicago, IL 60637.

PMID: 28559312 PMCID: PMC5495260 DOI: 10.1073/pnas.1703593114

Abstract

Taylor's law (TL) is a widely observed empirical pattern that relates the variances to the means of groups of nonnegative measurements via an approximate power law: variance

Keywords: Moran effect; aphid; correlation; fluctuation scaling; mean variance scaling

Conflict of interest statement

The authors declare no conflict of interest.

References

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