A maximum likelihood approach for identifying dive bouts improves accuracy, precision and objectivity. Behaviour 144
Summary Foraging behaviour frequently occurs in bouts, and considerable efforts to properly define those bouts have been made because they partly reflect different scales of environmental variation. Methods traditionally used to identify such bouts are diverse, include some level of subjectivity, an...
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ftciteseerx:oai:CiteSeerX.psu:10.1.1.1071.3262 2023-05-15T13:58:31+02:00 A maximum likelihood approach for identifying dive bouts improves accuracy, precision and objectivity. Behaviour 144 Sebastián P Luque Christophe Guinet The Pennsylvania State University CiteSeerX Archives 2007 application/pdf http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.1071.3262 http://www.cebc.cnrs.fr/publipdf/2007/LB144.pdf en eng http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.1071.3262 http://www.cebc.cnrs.fr/publipdf/2007/LB144.pdf Metadata may be used without restrictions as long as the oai identifier remains attached to it. http://www.cebc.cnrs.fr/publipdf/2007/LB144.pdf text 2007 ftciteseerx 2020-04-26T00:22:15Z Summary Foraging behaviour frequently occurs in bouts, and considerable efforts to properly define those bouts have been made because they partly reflect different scales of environmental variation. Methods traditionally used to identify such bouts are diverse, include some level of subjectivity, and their accuracy and precision is rarely compared. Therefore, the applicability of a maximum likelihood estimation method (MLM) for identifying dive bouts was investigated and compared with a recently proposed sequential differences analysis (SDA). Using real data on interdive durations from Antarctic fur seals (Arctocephalus gazella Peters, 1875), the MLM-based model produced briefer bout ending criterion (BEC) and more precise parameter estimates than the SDA approach. The MLM-based model was also in better agreement with real data, as it predicted the cumulative frequency of differences in interdive duration more accurately. Using both methods on simulated data showed that the MLM-based approach produced less biased estimates of the given model parameters than the SDA approach. Different choices of histogram bin widths involved in SDA had a systematic effect on the estimated BEC, such that larger bin widths resulted in longer BECs. These results suggest that using the MLM-based procedure with the sequential differences in interdive durations, and possibly other dive characteristics, may be an accurate, precise, and objective tool for identifying dive bouts. Text Antarc* Antarctic Antarctic Fur Seals Arctocephalus gazella Unknown Antarctic |
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description |
Summary Foraging behaviour frequently occurs in bouts, and considerable efforts to properly define those bouts have been made because they partly reflect different scales of environmental variation. Methods traditionally used to identify such bouts are diverse, include some level of subjectivity, and their accuracy and precision is rarely compared. Therefore, the applicability of a maximum likelihood estimation method (MLM) for identifying dive bouts was investigated and compared with a recently proposed sequential differences analysis (SDA). Using real data on interdive durations from Antarctic fur seals (Arctocephalus gazella Peters, 1875), the MLM-based model produced briefer bout ending criterion (BEC) and more precise parameter estimates than the SDA approach. The MLM-based model was also in better agreement with real data, as it predicted the cumulative frequency of differences in interdive duration more accurately. Using both methods on simulated data showed that the MLM-based approach produced less biased estimates of the given model parameters than the SDA approach. Different choices of histogram bin widths involved in SDA had a systematic effect on the estimated BEC, such that larger bin widths resulted in longer BECs. These results suggest that using the MLM-based procedure with the sequential differences in interdive durations, and possibly other dive characteristics, may be an accurate, precise, and objective tool for identifying dive bouts. |
author2 |
The Pennsylvania State University CiteSeerX Archives |
format |
Text |
author |
Sebastián P Luque Christophe Guinet |
spellingShingle |
Sebastián P Luque Christophe Guinet A maximum likelihood approach for identifying dive bouts improves accuracy, precision and objectivity. Behaviour 144 |
author_facet |
Sebastián P Luque Christophe Guinet |
author_sort |
Sebastián P Luque |
title |
A maximum likelihood approach for identifying dive bouts improves accuracy, precision and objectivity. Behaviour 144 |
title_short |
A maximum likelihood approach for identifying dive bouts improves accuracy, precision and objectivity. Behaviour 144 |
title_full |
A maximum likelihood approach for identifying dive bouts improves accuracy, precision and objectivity. Behaviour 144 |
title_fullStr |
A maximum likelihood approach for identifying dive bouts improves accuracy, precision and objectivity. Behaviour 144 |
title_full_unstemmed |
A maximum likelihood approach for identifying dive bouts improves accuracy, precision and objectivity. Behaviour 144 |
title_sort |
maximum likelihood approach for identifying dive bouts improves accuracy, precision and objectivity. behaviour 144 |
publishDate |
2007 |
url |
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.1071.3262 http://www.cebc.cnrs.fr/publipdf/2007/LB144.pdf |
geographic |
Antarctic |
geographic_facet |
Antarctic |
genre |
Antarc* Antarctic Antarctic Fur Seals Arctocephalus gazella |
genre_facet |
Antarc* Antarctic Antarctic Fur Seals Arctocephalus gazella |
op_source |
http://www.cebc.cnrs.fr/publipdf/2007/LB144.pdf |
op_relation |
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.1071.3262 http://www.cebc.cnrs.fr/publipdf/2007/LB144.pdf |
op_rights |
Metadata may be used without restrictions as long as the oai identifier remains attached to it. |
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1766266847722733568 |