Improving the precision of the daily egg production method using generalized additive models.
Generalized additive models (GAMs) are used to model spatial variation in egg density and increase the precision of biomass estimates from the daily egg production method. Application of GAMs to survey data from the western mackerel (Scomber scombrus) and horse mackerel (Trachurus trachurus) stocks...
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ftunstandrewcris:oai:research-portal.st-andrews.ac.uk:publications/81017328-73fd-4e88-9b35-a18a1a6e39cc 2024-09-15T17:59:36+00:00 Improving the precision of the daily egg production method using generalized additive models. Borchers, David Louis Buckland, Stephen Terrence Preide, IJ Ahmadi, S 1997-12 https://research-portal.st-andrews.ac.uk/en/publications/81017328-73fd-4e88-9b35-a18a1a6e39cc http://www.scopus.com/inward/record.url?scp=0031461895&partnerID=8YFLogxK eng eng https://research-portal.st-andrews.ac.uk/en/publications/81017328-73fd-4e88-9b35-a18a1a6e39cc info:eu-repo/semantics/restrictedAccess Borchers , D L , Buckland , S T , Preide , IJ & Ahmadi , S 1997 , ' Improving the precision of the daily egg production method using generalized additive models. ' , Canadian Journal of Fisheries and Aquatic Sciences , vol. 54 , pp. 2727-2742 . BERING SEA ENVIRONMENTAL-FACTORS ATLANTIC MACKEREL SCOMBER-SCOMBRUS ABUNDANCE FISH BIOMASS article 1997 ftunstandrewcris 2024-08-28T23:42:37Z Generalized additive models (GAMs) are used to model spatial variation in egg density and increase the precision of biomass estimates from the daily egg production method. Application of GAMs to survey data from the western mackerel (Scomber scombrus) and horse mackerel (Trachurus trachurus) stocks result in a substantial reduction in coefficients of variation of egg abundance. In developing GAM methods for the daily egg production method, we generalize Pennington's method, in which presence-absence is modelled separately from nonzero observations, and use a new form of the bootstrap that accommodates clustered count data without requiring explicit modelling of the form of clustering. In addition to increasing estimation precision, the use of GAMs has several advantages over stratified sample survey methods. To a large degree they allow the data to determine the form of functional dependence of the response on explanatory variables; they accommodate a wide variety of forms of stochastic variation of the response; they provide maps of the predicted density within the survey area; they provide an objective means of interpolating into unsampled areas; and estimation does not assume random sampling with respect to location. Article in Journal/Newspaper Bering Sea University of St Andrews: Research Portal |
institution |
Open Polar |
collection |
University of St Andrews: Research Portal |
op_collection_id |
ftunstandrewcris |
language |
English |
topic |
BERING SEA ENVIRONMENTAL-FACTORS ATLANTIC MACKEREL SCOMBER-SCOMBRUS ABUNDANCE FISH BIOMASS |
spellingShingle |
BERING SEA ENVIRONMENTAL-FACTORS ATLANTIC MACKEREL SCOMBER-SCOMBRUS ABUNDANCE FISH BIOMASS Borchers, David Louis Buckland, Stephen Terrence Preide, IJ Ahmadi, S Improving the precision of the daily egg production method using generalized additive models. |
topic_facet |
BERING SEA ENVIRONMENTAL-FACTORS ATLANTIC MACKEREL SCOMBER-SCOMBRUS ABUNDANCE FISH BIOMASS |
description |
Generalized additive models (GAMs) are used to model spatial variation in egg density and increase the precision of biomass estimates from the daily egg production method. Application of GAMs to survey data from the western mackerel (Scomber scombrus) and horse mackerel (Trachurus trachurus) stocks result in a substantial reduction in coefficients of variation of egg abundance. In developing GAM methods for the daily egg production method, we generalize Pennington's method, in which presence-absence is modelled separately from nonzero observations, and use a new form of the bootstrap that accommodates clustered count data without requiring explicit modelling of the form of clustering. In addition to increasing estimation precision, the use of GAMs has several advantages over stratified sample survey methods. To a large degree they allow the data to determine the form of functional dependence of the response on explanatory variables; they accommodate a wide variety of forms of stochastic variation of the response; they provide maps of the predicted density within the survey area; they provide an objective means of interpolating into unsampled areas; and estimation does not assume random sampling with respect to location. |
format |
Article in Journal/Newspaper |
author |
Borchers, David Louis Buckland, Stephen Terrence Preide, IJ Ahmadi, S |
author_facet |
Borchers, David Louis Buckland, Stephen Terrence Preide, IJ Ahmadi, S |
author_sort |
Borchers, David Louis |
title |
Improving the precision of the daily egg production method using generalized additive models. |
title_short |
Improving the precision of the daily egg production method using generalized additive models. |
title_full |
Improving the precision of the daily egg production method using generalized additive models. |
title_fullStr |
Improving the precision of the daily egg production method using generalized additive models. |
title_full_unstemmed |
Improving the precision of the daily egg production method using generalized additive models. |
title_sort |
improving the precision of the daily egg production method using generalized additive models. |
publishDate |
1997 |
url |
https://research-portal.st-andrews.ac.uk/en/publications/81017328-73fd-4e88-9b35-a18a1a6e39cc http://www.scopus.com/inward/record.url?scp=0031461895&partnerID=8YFLogxK |
genre |
Bering Sea |
genre_facet |
Bering Sea |
op_source |
Borchers , D L , Buckland , S T , Preide , IJ & Ahmadi , S 1997 , ' Improving the precision of the daily egg production method using generalized additive models. ' , Canadian Journal of Fisheries and Aquatic Sciences , vol. 54 , pp. 2727-2742 . |
op_relation |
https://research-portal.st-andrews.ac.uk/en/publications/81017328-73fd-4e88-9b35-a18a1a6e39cc |
op_rights |
info:eu-repo/semantics/restrictedAccess |
_version_ |
1810436712846852096 |