Improved estimation of site occupancy using penalized likelihood

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dc.contributor.authorMoreno, Monica
dc.contributor.authorLele, Subhash R.
dc.date.accessioned2020-11-10
dc.date.accessioned2022-05-31T01:16:24Z
dc.date.available2022-05-31T01:16:24Z
dc.date.issued2010
dc.description.abstractWhen detection or occupancy probability is small or when the number of sites and number of visits per site is small, maximum likelihood estimators (MLE) of site occupancy parameters have large biases, are numerically unstable, and the corresponding confidence intervals have smaller than nominal coverage. We propose an alternative method of estimation, based on penalized likelihood. This method is numerically stable, the estimators have smaller mean square error than the MLE, and associated confidence intervals have close to nominal coverage.
dc.format.extent89.75KB
dc.format.mimetypePDF
dc.identifier.citationMoreno, M. and S.R. Lele (2010) Improved estimation of site occupancy using penalized likelihood. Ecology 91:341-346. https://doi.org/10.1890/09-1073.1
dc.identifier.doihttps://doi.org/10.1890/09-1073.1
dc.identifier.urihttps://hdl.handle.net/20.500.14078/2049
dc.languageEnglish
dc.language.isoen
dc.rightsAll Rights Reserved
dc.subjectpenalized likelihood
dc.subjectspecies occurrence
dc.subjectzero inflated binomial
dc.titleImproved estimation of site occupancy using penalized likelihood
dc.typeReport
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