Dealing with overdispersed count data in applied ecology

@inproceedings{Richards2007DealingWO,
  title={Dealing with overdispersed count data in applied ecology},
  author={Shane A. Richards},
  year={2007}
}
ing ecological complexity by identifying key biological processes, and the factors that affect them, is important when solving applied ecological problems (e.g. Hilborn & Mangel 1997; McPherson & DeStefano 2003; Clark 2007), as the effectiveness of a management action is likely to depend upon the processes that dominate a system (Walters 1986). Hence, it is important that ecologists should be able to compare their data reliably with multiple, process-derived, ecological models. It is common for… CONTINUE READING
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References

Publications referenced by this paper.
Showing 1-10 of 31 references

On the use of corrections for overdispersion

  • J. K. Lindsey
  • Applied Statistics,
  • 1999
Highly Influential
10 Excerpts

Habitat selection by two species of nectarivore: habitat quality

  • H. P. Possingham
  • isoclines. Ecology,
  • 1992
Highly Influential
4 Excerpts

Information theory as an extension of the maximum likelihood principle

  • H. Akaike
  • Second International Symposium on Information…
  • 1973
Highly Influential
3 Excerpts

A call for statistical pluralism answered

  • P. A. Stephens, S. W. Buskirk, G. D. Hayward, C. Martinez del Rio
  • Journal of Applied Ecology,
  • 2007
1 Excerpt

Linking angling catch rates and fish learning under catch-and-release regulations

  • P. J. Askey, S. A. Richards, J. R. Post, E. A. Parkinson
  • North American Journal of Fisheries Management,
  • 2006
1 Excerpt

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