Modelling Pollock egg counts from the western Gulf of Alaska by a zero-inflated Bayesian hierarchical spacetime model
Data from egg sampling surveys often contain a large proportion of zeros. We examine the time and location of collected walleye pollock egg counts from the western Gulf of Alaska, from Kodiak Island to Unimah Pass, in the years 1978-2000. We take the excessive number of zeros in the data into accoun...
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Niedersächsische Staats- und Universitätsbibliothek
2006
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Online Access: | http://webdoc.sub.gwdg.de/ebook/serien/e/uio_statistical_rr/04-06.pdf |
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ftgbv:oai:gbv.de:opac-de-7:ppn:519668278 2023-05-15T17:04:38+02:00 Modelling Pollock egg counts from the western Gulf of Alaska by a zero-inflated Bayesian hierarchical spacetime model Tvete, I. F. Storvik, G. Natvig, B. 2006 electronic Elektronische Ressource electronic resource remote Online-Ressource Online-Resource http://webdoc.sub.gwdg.de/ebook/serien/e/uio_statistical_rr/04-06.pdf eng eng Niedersächsische Staats- und Universitätsbibliothek 2006 ftgbv 2016-01-30T08:47:35Z Data from egg sampling surveys often contain a large proportion of zeros. We examine the time and location of collected walleye pollock egg counts from the western Gulf of Alaska, from Kodiak Island to Unimah Pass, in the years 1978-2000. We take the excessive number of zeros in the data into account by taking a two stage modelling approach, resulting in a zero-inflated hierarchical space-time model. The binary (presence/absence of zeros) process is directly linked to the underlying intensity process. Hence, the latter process influences both the presence of zeros and the amount of eggs in non-zero observations. We fit our model for each year, and compare the underlying intensities over the years within regions of the sampled area. Other/Unknown Material Kodiak Alaska Georg-August-Universität Göttingen: GOEDOC Gulf of Alaska |
institution |
Open Polar |
collection |
Georg-August-Universität Göttingen: GOEDOC |
op_collection_id |
ftgbv |
language |
English |
description |
Data from egg sampling surveys often contain a large proportion of zeros. We examine the time and location of collected walleye pollock egg counts from the western Gulf of Alaska, from Kodiak Island to Unimah Pass, in the years 1978-2000. We take the excessive number of zeros in the data into account by taking a two stage modelling approach, resulting in a zero-inflated hierarchical space-time model. The binary (presence/absence of zeros) process is directly linked to the underlying intensity process. Hence, the latter process influences both the presence of zeros and the amount of eggs in non-zero observations. We fit our model for each year, and compare the underlying intensities over the years within regions of the sampled area. |
author2 |
Tvete, I. F. Storvik, G. Natvig, B. |
title |
Modelling Pollock egg counts from the western Gulf of Alaska by a zero-inflated Bayesian hierarchical spacetime model |
spellingShingle |
Modelling Pollock egg counts from the western Gulf of Alaska by a zero-inflated Bayesian hierarchical spacetime model |
title_short |
Modelling Pollock egg counts from the western Gulf of Alaska by a zero-inflated Bayesian hierarchical spacetime model |
title_full |
Modelling Pollock egg counts from the western Gulf of Alaska by a zero-inflated Bayesian hierarchical spacetime model |
title_fullStr |
Modelling Pollock egg counts from the western Gulf of Alaska by a zero-inflated Bayesian hierarchical spacetime model |
title_full_unstemmed |
Modelling Pollock egg counts from the western Gulf of Alaska by a zero-inflated Bayesian hierarchical spacetime model |
title_sort |
modelling pollock egg counts from the western gulf of alaska by a zero-inflated bayesian hierarchical spacetime model |
publisher |
Niedersächsische Staats- und Universitätsbibliothek |
publishDate |
2006 |
url |
http://webdoc.sub.gwdg.de/ebook/serien/e/uio_statistical_rr/04-06.pdf |
geographic |
Gulf of Alaska |
geographic_facet |
Gulf of Alaska |
genre |
Kodiak Alaska |
genre_facet |
Kodiak Alaska |
_version_ |
1766058941934993408 |