On the robustness of N-mixture models.

Link, William A; Schofield, Matthew R; Barker, Richard J; Sauer, John R

Link, William A; Schofield, Matthew R; Barker, Richard J; Sauer, John R.

Affiliation

Link WA; USGS Patuxent Wildlife Research Center, Laurel, Maryland, 20708, USA.
Schofield MR; Department of Mathematics and Statistics, University of Otago, Dunedin, New Zealand.
Barker RJ; Department of Mathematics and Statistics, University of Otago, Dunedin, New Zealand.
Sauer JR; USGS Patuxent Wildlife Research Center, Laurel, Maryland, 20708, USA.

Ecology ; 99(7): 1547-1551, 2018 07.

Article in En | MEDLINE | ID: mdl-29702727

Subject(s)

Models, Statistical; Animals; Bias; Population Density; Probability

Key words

Bayesian P-value; N-mixture model; abundance estimation; count data; detection probability; robustness

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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Models, Statistical Type of study: Risk_factors_studies Limits: Animals Language: En Journal: Ecology Year: 2018 Type: Article Affiliation country: United States

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