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Taylor's power law and the statistical modelling of infectious disease surveillance data

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Listed:
  • Doyo Gragn Enki
  • Angela Noufaily
  • Paddy Farrington
  • Paul Garthwaite
  • Nick Andrews
  • Andre Charlett

Abstract

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Suggested Citation

  • Doyo Gragn Enki & Angela Noufaily & Paddy Farrington & Paul Garthwaite & Nick Andrews & Andre Charlett, 2017. "Taylor's power law and the statistical modelling of infectious disease surveillance data," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 180(1), pages 45-72, January.
  • Handle: RePEc:bla:jorssa:v:180:y:2017:i:1:p:45-72
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    File URL: http://hdl.handle.net/10.1111/rssa.12181
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    References listed on IDEAS

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    1. J. F. Lawless & Marc Fredette, 2005. "Frequentist prediction intervals and predictive distributions," Biometrika, Biometrika Trust, vol. 92(3), pages 529-542, September.
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    Cited by:

    1. Khalin, Andrey A. & Postnikov, Eugene B., 2020. "A wavelet-based approach to revealing the Tweedie distribution type in sparse data," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 553(C).

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