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dc.contributor.authorHarris, Catriona M
dc.contributor.authorThomas, Len
dc.contributor.authorSadykova, Dinara
dc.contributor.authorDe Ruiter, Stacy Lynn
dc.contributor.authorTyack, Peter Lloyd
dc.contributor.authorSouthall, Brandon L.
dc.contributor.authorRead, Andrew J.
dc.contributor.authorMiller, Patrick
dc.contributor.editorPopper, A.N.
dc.contributor.editorHawkins, A.
dc.date.accessioned2016-12-02T00:34:01Z
dc.date.available2016-12-02T00:34:01Z
dc.date.issued2016
dc.identifier.citationHarris , C M , Thomas , L , Sadykova , D , De Ruiter , S L , Tyack , P L , Southall , B L , Read , A J & Miller , P 2016 , The challenges of analyzing behavioral response study data : an overview of the MOCHA (Multi-study OCean acoustics Human effects Analysis) project . in A N Popper & A Hawkins (eds) , Effects of Noise on Aquatic Life II . Advances in Experimental Medicine and Biology , vol. 875 , Springer Science and Business Media , pp. 399-407 , Third International Conference on the Effects of Noise on Aquatic Life , Budapest , Hungary , 11/08/13 . https://doi.org/10.1007/978-1-4939-2981-8_47en
dc.identifier.citationconferenceen
dc.identifier.isbn9781493929801
dc.identifier.issn0065-2598
dc.identifier.otherPURE: 90279690
dc.identifier.otherPURE UUID: f11037e9-28ee-4be8-af18-6b72950fc8e4
dc.identifier.otherScopus: 84948783953
dc.identifier.otherORCID: /0000-0002-7436-067X/work/29591658
dc.identifier.otherWOS: 000370000900048
dc.identifier.otherORCID: /0000-0001-9198-2414/work/60887680
dc.identifier.otherORCID: /0000-0002-8409-4790/work/60887855
dc.identifier.urihttp://hdl.handle.net/10023/9923
dc.descriptionDate of Acceptance:en
dc.description.abstractThis paper describes the MOCHA project which aims to develop novel approaches for the analysis of data collected during Behavioral Response Studies (BRSs). BRSs are experiments aimed at directly quantifying the effects of controlled dosages of natural or anthropogenic stimuli (typically sound) on marine mammal behavior. These experiments typically result in low sample size, relative to variability, and so we are looking at a number of studies in combination to maximize the gain from each one. We describe a suite of analytical tools applied to BRS data on beaked whales, including a simulation study aimed at informing future experimental design.
dc.format.extent9
dc.language.isoeng
dc.publisherSpringer Science and Business Media
dc.relation.ispartofEffects of Noise on Aquatic Life IIen
dc.relation.ispartofseriesAdvances in Experimental Medicine and Biologyen
dc.rights© 2016, Publisher / the Author(s). This work is made available online in accordance with the publisher’s policies. This is the author created, accepted version manuscript following peer review and may differ slightly from the final published version. The final published version of this work is available at link.springer.com / https://dx.doi.org/10.1007/978-1-4939-2981-8_47en
dc.subjectSonaren
dc.subjectCetaceansen
dc.subjectChange-pointen
dc.subjectDose-responseen
dc.subjectState-space modellingen
dc.subjectQH301 Biologyen
dc.subjectNDASen
dc.subject.lccQH301en
dc.titleThe challenges of analyzing behavioral response study data : an overview of the MOCHA (Multi-study OCean acoustics Human effects Analysis) projecten
dc.typeConference itemen
dc.description.versionPostprinten
dc.contributor.institutionUniversity of St Andrews.School of Biologyen
dc.contributor.institutionUniversity of St Andrews.Scottish Oceans Instituteen
dc.contributor.institutionUniversity of St Andrews.Centre for Research into Ecological & Environmental Modellingen
dc.contributor.institutionUniversity of St Andrews.Statisticsen
dc.contributor.institutionUniversity of St Andrews.Marine Alliance for Science & Technology Scotlanden
dc.contributor.institutionUniversity of St Andrews.School of Mathematics and Statisticsen
dc.contributor.institutionUniversity of St Andrews.Sea Mammal Research Uniten
dc.contributor.institutionUniversity of St Andrews.Sound Tags Groupen
dc.contributor.institutionUniversity of St Andrews.Bioacoustics groupen
dc.contributor.institutionUniversity of St Andrews.Institute of Behavioural and Neural Sciencesen
dc.contributor.institutionUniversity of St Andrews.Centre for Social Learning & Cognitive Evolutionen
dc.identifier.doihttps://doi.org/10.1007/978-1-4939-2981-8_47
dc.date.embargoedUntil2016-12-01
dc.identifier.urlhttp://www.springer.com/gb/book/9781493929801en


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