Assessing heterogeneity in transition propensity in multistate capture–recapture data
Multistate capture–recapture models are a useful tool to help to understand the dynamics of movement within discrete capture–recapture data. The standard multistate capture–recapture model, however, relies on assumptions of homogeneity within the population with respect to survival, capture and tran...
Published in: | Journal of the Royal Statistical Society: Series C (Applied Statistics) |
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Online Access: | https://eprints.lancs.ac.uk/id/eprint/176508/ https://doi.org/10.1111/rssc.12392 |
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ftulancaster:oai:eprints.lancs.ac.uk:176508 2023-08-27T04:08:51+02:00 Assessing heterogeneity in transition propensity in multistate capture–recapture data Jeyam, Anita McCrea, Rachel Pradel, Roger 2020-04-01 https://eprints.lancs.ac.uk/id/eprint/176508/ https://doi.org/10.1111/rssc.12392 unknown Jeyam, Anita and McCrea, Rachel and Pradel, Roger (2020) Assessing heterogeneity in transition propensity in multistate capture–recapture data. Journal of the Royal Statistical Society: Series C (Applied Statistics), 69 (2). pp. 413-427. ISSN 0035-9254 Journal Article PeerReviewed 2020 ftulancaster https://doi.org/10.1111/rssc.12392 2023-08-03T22:42:06Z Multistate capture–recapture models are a useful tool to help to understand the dynamics of movement within discrete capture–recapture data. The standard multistate capture–recapture model, however, relies on assumptions of homogeneity within the population with respect to survival, capture and transition probabilities. There are many ways in which this model can be generalized so some guidance on what is really needed is highly desirable. Within the paper we derive a new test that can detect heterogeneity in transition propensity and show its good power by using simulation and application to a Canada goose data set. We also demonstrate that existing tests which have traditionally been used to diagnose memory are in fact sensitive to other forms of transition heterogeneity and we propose modified tests which can distinguish between memory and other forms of transition heterogeneity. Article in Journal/Newspaper Canada Goose Lancaster University: Lancaster Eprints Canada Journal of the Royal Statistical Society: Series C (Applied Statistics) 69 2 413 427 |
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Lancaster University: Lancaster Eprints |
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Multistate capture–recapture models are a useful tool to help to understand the dynamics of movement within discrete capture–recapture data. The standard multistate capture–recapture model, however, relies on assumptions of homogeneity within the population with respect to survival, capture and transition probabilities. There are many ways in which this model can be generalized so some guidance on what is really needed is highly desirable. Within the paper we derive a new test that can detect heterogeneity in transition propensity and show its good power by using simulation and application to a Canada goose data set. We also demonstrate that existing tests which have traditionally been used to diagnose memory are in fact sensitive to other forms of transition heterogeneity and we propose modified tests which can distinguish between memory and other forms of transition heterogeneity. |
format |
Article in Journal/Newspaper |
author |
Jeyam, Anita McCrea, Rachel Pradel, Roger |
spellingShingle |
Jeyam, Anita McCrea, Rachel Pradel, Roger Assessing heterogeneity in transition propensity in multistate capture–recapture data |
author_facet |
Jeyam, Anita McCrea, Rachel Pradel, Roger |
author_sort |
Jeyam, Anita |
title |
Assessing heterogeneity in transition propensity in multistate capture–recapture data |
title_short |
Assessing heterogeneity in transition propensity in multistate capture–recapture data |
title_full |
Assessing heterogeneity in transition propensity in multistate capture–recapture data |
title_fullStr |
Assessing heterogeneity in transition propensity in multistate capture–recapture data |
title_full_unstemmed |
Assessing heterogeneity in transition propensity in multistate capture–recapture data |
title_sort |
assessing heterogeneity in transition propensity in multistate capture–recapture data |
publishDate |
2020 |
url |
https://eprints.lancs.ac.uk/id/eprint/176508/ https://doi.org/10.1111/rssc.12392 |
geographic |
Canada |
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Canada |
genre |
Canada Goose |
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Canada Goose |
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Jeyam, Anita and McCrea, Rachel and Pradel, Roger (2020) Assessing heterogeneity in transition propensity in multistate capture–recapture data. Journal of the Royal Statistical Society: Series C (Applied Statistics), 69 (2). pp. 413-427. ISSN 0035-9254 |
op_doi |
https://doi.org/10.1111/rssc.12392 |
container_title |
Journal of the Royal Statistical Society: Series C (Applied Statistics) |
container_volume |
69 |
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2 |
container_start_page |
413 |
op_container_end_page |
427 |
_version_ |
1775349752676745216 |