Please use this identifier to cite or link to this item: https://scholarbank.nus.edu.sg/handle/10635/105218
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dc.titleMeasurement errors in line transect surveys where detectability varies with distance and size
dc.contributor.authorChen, S.X.
dc.contributor.authorCowling, A.
dc.date.accessioned2014-10-28T05:13:06Z
dc.date.available2014-10-28T05:13:06Z
dc.date.issued2001
dc.identifier.citationChen, S.X.,Cowling, A. (2001). Measurement errors in line transect surveys where detectability varies with distance and size. Biometrics 57 (3) : 732-742. ScholarBank@NUS Repository.
dc.identifier.issn0006341X
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/105218
dc.description.abstractWhen using bivariate line transect methods to estimate the biomass density of a tightly clustered biological population, it is generally assumed that both the perpendicular distance from the trackline to the cluster and the cluster size, or biomass, are measured without error. This is unlikely to be the case in practice. In this article, assuming additive mean zero errors in distance and multiplicative errors in size, we develop an estimator of density that corrects for these errors. We use the method of moments for the case of gamma cluster size, randomly placed transect lines, and the generalized exponential detection function. We derive results that show that it may not be necessary to correct for errors in distance or size when the distance and size estimates are not biased. When the size estimates are biased, the biomass density estimate has approximately the same bias as the size estimates. The work is illustrated in the context of annual aerial surveys for juvenile southern bluefin tuna in the Great Australian Bight.
dc.sourceScopus
dc.subjectDetectability
dc.subjectLine transect surveys
dc.subjectMeasurement error
dc.subjectMethod of moments
dc.subjectParametric models
dc.subjectSize bias
dc.typeArticle
dc.contributor.departmentSTATISTICS & APPLIED PROBABILITY
dc.description.sourcetitleBiometrics
dc.description.volume57
dc.description.issue3
dc.description.page732-742
dc.description.codenBIOMA
dc.identifier.isiutNOT_IN_WOS
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