Simulated likelihood methods for complex double-platform line transect surveys

Biometrics
Tore SchwederX K Dimakos

Abstract

The conventional line transect approach of estimating effective search width from the perpendicular distance distribution is inappropriate in certain types of surveys, e.g., when an unknown fraction of the animals on the track line is detected, the animals can be observed only at discrete points in time, there are errors in positional measurements, and covariate heterogeneity exists in detectability. For such situations a hazard probability framework for independent observer surveys is developed. The likelihood of the data, including observed positions of both initial and subsequent observations of animals, is established under the assumption of no measurement errors. To account for measurement errors and possibly other complexities, this likelihood is modified by a function estimated from extensive simulations. This general method of simulated likelihood is explained and the methodology applied to data from a double-platform survey of minke whales in the northeastern Atlantic in 1995.

References

Apr 25, 2001·Biometrics·H J Skaug, T Schweder

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Citations

Apr 25, 2001·Biometrics·H J Skaug, T Schweder
Aug 24, 2013·The Journal of the Acoustical Society of America·Tomonari AkamatsuYukiko Sasaki-Yamamoto
May 24, 2003·Biometrics·Magne AldrinTore Schweder
Oct 14, 2011·Biometrics·Hiroshi OkamuraToshiya Kishiro
May 13, 2009·Biometrics·Stephen T BucklandDavid L Borchers
Oct 19, 2016·Biometrics·David Louis Borchers, Martin James Cox

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