On the reliability of N‐mixture models for count data

About this item

Title

On the reliability of N‐mixture models for count data

Content partner

University of Otago

Collection

Otago University Research Archive

Description

Summary N‐mixture models describe count data replicated in time and across sites in terms of abundance N and detectability p. They are popular because they allow inference about N while controlling for factors that influence p without the need for marking animals. Using a capture–recapture perspective, we show that the loss of information that results from not marking animals is critical, making reliable statistical modeling of N and p problematic using just count data. One cannot reliably fi...

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Format

Research paper

Research format

Scholarly text / Journal article

Thesis level

Article

Date created

2018-03

Creator

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

URL

https://hdl.handle.net/10523/28501

Related subjects

Ancillary statistic / Capture recapture / Log linear model / N‐mixture models / Partial likelihood

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