Home > Research > Publications & Outputs > Assessing heterogeneity in transition propensit...

Links

Text available via DOI:

View graph of relations

Assessing heterogeneity in transition propensity in multistate capture–recapture data

Research output: Contribution to Journal/MagazineJournal articlepeer-review

Published

Standard

Assessing heterogeneity in transition propensity in multistate capture–recapture data. / Jeyam, Anita; McCrea, Rachel; Pradel, Roger.
In: Journal of the Royal Statistical Society: Series C (Applied Statistics), Vol. 69, No. 2, 01.04.2020, p. 413-427.

Research output: Contribution to Journal/MagazineJournal articlepeer-review

Harvard

Jeyam, A, McCrea, R & Pradel, R 2020, 'Assessing heterogeneity in transition propensity in multistate capture–recapture data', Journal of the Royal Statistical Society: Series C (Applied Statistics), vol. 69, no. 2, pp. 413-427. https://doi.org/10.1111/rssc.12392

APA

Jeyam, A., McCrea, R., & Pradel, R. (2020). Assessing heterogeneity in transition propensity in multistate capture–recapture data. Journal of the Royal Statistical Society: Series C (Applied Statistics), 69(2), 413-427. https://doi.org/10.1111/rssc.12392

Vancouver

Jeyam A, McCrea R, Pradel R. Assessing heterogeneity in transition propensity in multistate capture–recapture data. Journal of the Royal Statistical Society: Series C (Applied Statistics). 2020 Apr 1;69(2):413-427. Epub 2019 Dec 24. doi: 10.1111/rssc.12392

Author

Jeyam, Anita ; McCrea, Rachel ; Pradel, Roger. / Assessing heterogeneity in transition propensity in multistate capture–recapture data. In: Journal of the Royal Statistical Society: Series C (Applied Statistics). 2020 ; Vol. 69, No. 2. pp. 413-427.

Bibtex

@article{c97ee00399cc4a5d8ea5faae2baf6e0a,
title = "Assessing heterogeneity in transition propensity in multistate capture–recapture data",
abstract = "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.",
author = "Anita Jeyam and Rachel McCrea and Roger Pradel",
year = "2020",
month = apr,
day = "1",
doi = "10.1111/rssc.12392",
language = "English",
volume = "69",
pages = "413--427",
journal = "Journal of the Royal Statistical Society: Series C (Applied Statistics)",
issn = "0035-9254",
publisher = "Wiley-Blackwell",
number = "2",

}

RIS

TY - JOUR

T1 - Assessing heterogeneity in transition propensity in multistate capture–recapture data

AU - Jeyam, Anita

AU - McCrea, Rachel

AU - Pradel, Roger

PY - 2020/4/1

Y1 - 2020/4/1

N2 - 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.

AB - 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.

U2 - 10.1111/rssc.12392

DO - 10.1111/rssc.12392

M3 - Journal article

VL - 69

SP - 413

EP - 427

JO - Journal of the Royal Statistical Society: Series C (Applied Statistics)

JF - Journal of the Royal Statistical Society: Series C (Applied Statistics)

SN - 0035-9254

IS - 2

ER -