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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao zbMATH Openarrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
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Article
Data sources: zbMATH Open
Biometrics
Article . 1998 . Peer-reviewed
Data sources: Crossref
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Mark-Recapture Models for Line Transect Surveys

Mark-recapture models for line transect surveys
Authors: Borchers, David L.; Zucchini, Walter; Fewster, Rachel M.;

Mark-Recapture Models for Line Transect Surveys

Abstract

Summary: One of the key assumptions of conventional line transect (LT) theory is that all animals in the observer's path are detected. When this assumption fails, simultaneous survey by two independent observers can be used to estimate detection probabilities and abundance. Models are developed for such surveys for both grouped and ungrouped perpendicular distance data. The models unify and generalize existing line transect and mark-recapture models. They provide a general framework for the estimation of abundance from LT surveys in which detection of animals on the trackline is not certain and/or the probability of detection depends on perpendicular distance and additional covariates. Existing LT models in the literature are obtained as special cases of the general models. We use data from a shipboard line transect survey of Antarctic minke whales to illustrate use of the models.

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Keywords

wildlife abundance estimation, detection probabilities, line transect, Sampling theory, sample surveys, mark-recapture, Applications of statistics to biology and medical sciences; meta analysis

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    popularity
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    influence
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    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
110
Top 10%
Top 1%
Top 10%
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