An extravariation model for improving confidence intervals of population size estimates from removal data
We propose a new model for estimating the size of a population from successive catches taken during a removal experiment. The data from these experiments often have excessive variation, known as overdispersion, as compared with that predicted by the multinomial model. The new model allows catchabili...
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ftmurdochuniv:oai:researchrepository.murdoch.edu.au:12773 2023-05-15T18:05:13+02:00 An extravariation model for improving confidence intervals of population size estimates from removal data Wang, Y-G Loneragan, N.R. 1996 https://researchrepository.murdoch.edu.au/id/eprint/12773/ eng eng National Research Council of Canada https://researchrepository.murdoch.edu.au/id/eprint/12773/ full_text_status:public © 1996 NRC. Wang, Y-G and Loneragan, N.R. <https://researchrepository.murdoch.edu.au/view/author/Loneragan, Neil.html> (1996) An extravariation model for improving confidence intervals of population size estimates from removal data. Canadian Journal of Fisheries and Aquatic Sciences, 53 (11). pp. 2533-2539. Journal Article 1996 ftmurdochuniv 2020-01-05T18:46:57Z We propose a new model for estimating the size of a population from successive catches taken during a removal experiment. The data from these experiments often have excessive variation, known as overdispersion, as compared with that predicted by the multinomial model. The new model allows catchability to vary randomly among samplings, which accounts for overdispersion. When the catchability is assumed to have a beta distribution, the likelihood function, which is refered to as beta-multinomial, is derived, and hence the maximum likelihood estimates can be evaluated. Simulations show that in the presence of extravariation in the data, the confidence intervals have been substantially underestimated in previous models (Leslie-DeLury, Moran) and that the new model provides more reliable confidence intervals. The performance of these methods was also demonstrated using two real data sets: one with overdispersion, from smallmouth bass (Micropterus dolomieu), and the other without overdispersion, from rat (Rattus rattus). Article in Journal/Newspaper Rattus rattus Murdoch University: Murdoch Research Repository |
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Murdoch University: Murdoch Research Repository |
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ftmurdochuniv |
language |
English |
description |
We propose a new model for estimating the size of a population from successive catches taken during a removal experiment. The data from these experiments often have excessive variation, known as overdispersion, as compared with that predicted by the multinomial model. The new model allows catchability to vary randomly among samplings, which accounts for overdispersion. When the catchability is assumed to have a beta distribution, the likelihood function, which is refered to as beta-multinomial, is derived, and hence the maximum likelihood estimates can be evaluated. Simulations show that in the presence of extravariation in the data, the confidence intervals have been substantially underestimated in previous models (Leslie-DeLury, Moran) and that the new model provides more reliable confidence intervals. The performance of these methods was also demonstrated using two real data sets: one with overdispersion, from smallmouth bass (Micropterus dolomieu), and the other without overdispersion, from rat (Rattus rattus). |
format |
Article in Journal/Newspaper |
author |
Wang, Y-G Loneragan, N.R. |
spellingShingle |
Wang, Y-G Loneragan, N.R. An extravariation model for improving confidence intervals of population size estimates from removal data |
author_facet |
Wang, Y-G Loneragan, N.R. |
author_sort |
Wang, Y-G |
title |
An extravariation model for improving confidence intervals of population size estimates from removal data |
title_short |
An extravariation model for improving confidence intervals of population size estimates from removal data |
title_full |
An extravariation model for improving confidence intervals of population size estimates from removal data |
title_fullStr |
An extravariation model for improving confidence intervals of population size estimates from removal data |
title_full_unstemmed |
An extravariation model for improving confidence intervals of population size estimates from removal data |
title_sort |
extravariation model for improving confidence intervals of population size estimates from removal data |
publisher |
National Research Council of Canada |
publishDate |
1996 |
url |
https://researchrepository.murdoch.edu.au/id/eprint/12773/ |
genre |
Rattus rattus |
genre_facet |
Rattus rattus |
op_source |
Wang, Y-G and Loneragan, N.R. <https://researchrepository.murdoch.edu.au/view/author/Loneragan, Neil.html> (1996) An extravariation model for improving confidence intervals of population size estimates from removal data. Canadian Journal of Fisheries and Aquatic Sciences, 53 (11). pp. 2533-2539. |
op_relation |
https://researchrepository.murdoch.edu.au/id/eprint/12773/ full_text_status:public |
op_rights |
© 1996 NRC. |
_version_ |
1766176671247892480 |