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Accommodating Unmodeled Heterogeneity in Double‐Observer Distance Sampling Surveys
Author(s) -
Borchers D. L.,
Laake J. L.,
Southwell C.,
Paxton C. G. M.
Publication year - 2006
Publication title -
biometrics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.298
H-Index - 130
eISSN - 1541-0420
pISSN - 0006-341X
DOI - 10.1111/j.1541-0420.2005.00493.x
Subject(s) - mark and recapture , statistics , observer (physics) , sampling (signal processing) , neglect , correlation , mathematics , computer science , econometrics , psychology , computer vision , physics , demography , population , geometry , filter (signal processing) , quantum mechanics , psychiatry , sociology
Summary Mark‐recapture models applied to double‐observer distance sampling data neglect the information on relative detectability of objects contained in the distribution of observed distances. A difference between the observed distribution and that predicted by the mark‐recapture model is symptomatic of a failure of the assumption of zero correlation between detection probabilities implicit in the mark‐recapture model. We develop a mark‐recapture‐based model that uses the observed distribution to relax this assumption to zero correlation at only one distance. We demonstrate its usefulness in coping with unmodeled heterogeneity using data from an aerial survey of crabeater seals in the Antarctic.