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Model-Based Distance Sampling: Full Likelihood Methods

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Part of the book series: Methods in Statistical Ecology ((MISE))

Abstract

In the following, we consider the case that animals are not in clusters except when we state otherwise. In Sect. 6.1, we noted that for conventional distance sampling (CDS, Sect. 5.2), we can define the full likelihood to be For multiple-covariate distance sampling (MCDS, Sect. 5.3), the full likelihood also includes a component for the likelihood of the covariates z:

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Buckland, S.T., Rexstad, E.A., Marques, T.A., Oedekoven, C.S. (2015). Model-Based Distance Sampling: Full Likelihood Methods. In: Distance Sampling: Methods and Applications. Methods in Statistical Ecology. Springer, Cham. https://doi.org/10.1007/978-3-319-19219-2_8

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