Predicting and correcting bias caused by measurement error in line transect sampling using multiplicative error models.

Abstract

Line transect sampling is one of the most widely used methods for animal abundance assessment. Standard estimation methods assume certain detection on the transect, no animal movement, and no measurement errors. Failure of the assumptions can cause substantial bias. In this work, the effect of error measurement on line transect estimators is investigated… (More)

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@article{Marques2004PredictingAC, title={Predicting and correcting bias caused by measurement error in line transect sampling using multiplicative error models.}, author={Tiago A. Marques}, journal={Biometrics}, year={2004}, volume={60 3}, pages={757-63} }