Some applications of the bootstrap in Spanish Discards Sampling Scheme

Herein we propose a nested boostrap scheme to explore di erent sources of variability in discard data. The proposed tool resamples on trips, hauls within trips and lengthclasess within hauls to include all sources of variability identified in the Spanish DCR sampling program scheme. Megrim (Lepidorh...

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Main Authors: Santos-Blanco, J. (Juan), Carbonell, A. (Ana), Pérez-Contreras, M.N. (María Nélida)
Format: Report
Language:unknown
Published: Centro Oceanográfico de Vigo 2011
Subjects:
Online Access:http://hdl.handle.net/10508/3652
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author Santos-Blanco, J. (Juan)
Carbonell, A. (Ana)
Pérez-Contreras, M.N. (María Nélida)
author_facet Santos-Blanco, J. (Juan)
Carbonell, A. (Ana)
Pérez-Contreras, M.N. (María Nélida)
author_sort Santos-Blanco, J. (Juan)
collection Instituto Español de Oceanografía: e-IEO
description Herein we propose a nested boostrap scheme to explore di erent sources of variability in discard data. The proposed tool resamples on trips, hauls within trips and lengthclasess within hauls to include all sources of variability identified in the Spanish DCR sampling program scheme. Megrim (Lepidorhombus wiffiagonis) and Hake (Merluccius merluccius) discard data collected in 2008 from OTB-51 metier operating in ICES Division VI - VII, and Mediterranea DEF-Southern metier operating in the GSA 6S area were considered as case studies. Bootstrap Error and Coeficients of Variation associated to mean discards per trip were obtained and compared with asymptotic estimates. Furthermore, we use the bootstrap to quantify the contribution of the given sources of variability to global variability, and to assess simulated sampling scenarios differing each others in sampling effort. The last application of this method is for detecting outliers in 2008 sampled units (Trips). The good performance of the bootstrap method validates its use to obtain reliable error estimates in further regression and/or classiffication studies on discard data.
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genre North Atlantic
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geographic Hake
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institution Open Polar
language unknown
long_lat ENVELOPE(15.612,15.612,66.797,66.797)
op_collection_id ftieo
op_coverage Atlantic Ocean
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op_relation http://hdl.handle.net/10508/3652
Study Group on Practical Implementation of Discard Sampling Plans. (27/06/2011 - 01/07/2011. Copenhague (Dinamarca)). 2011.
op_rights Atribución-NoComercial-SinDerivadas 3.0 España
http://creativecommons.org/licenses/by-nc-nd/3.0/es/
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spelling ftieo:oai:repositorio.ieo.es:10508/3652 2025-01-16T23:40:06+00:00 Some applications of the bootstrap in Spanish Discards Sampling Scheme Santos-Blanco, J. (Juan) Carbonell, A. (Ana) Pérez-Contreras, M.N. (María Nélida) Atlantic Ocean North Atlantic Northeast Atlantic ICES 2011 http://hdl.handle.net/10508/3652 unknown Centro Oceanográfico de Vigo http://hdl.handle.net/10508/3652 Study Group on Practical Implementation of Discard Sampling Plans. (27/06/2011 - 01/07/2011. Copenhague (Dinamarca)). 2011. Atribución-NoComercial-SinDerivadas 3.0 España http://creativecommons.org/licenses/by-nc-nd/3.0/es/ openAccess CC-BY-NC-ND workingPaper 2011 ftieo 2022-07-26T23:47:30Z Herein we propose a nested boostrap scheme to explore di erent sources of variability in discard data. The proposed tool resamples on trips, hauls within trips and lengthclasess within hauls to include all sources of variability identified in the Spanish DCR sampling program scheme. Megrim (Lepidorhombus wiffiagonis) and Hake (Merluccius merluccius) discard data collected in 2008 from OTB-51 metier operating in ICES Division VI - VII, and Mediterranea DEF-Southern metier operating in the GSA 6S area were considered as case studies. Bootstrap Error and Coeficients of Variation associated to mean discards per trip were obtained and compared with asymptotic estimates. Furthermore, we use the bootstrap to quantify the contribution of the given sources of variability to global variability, and to assess simulated sampling scenarios differing each others in sampling effort. The last application of this method is for detecting outliers in 2008 sampled units (Trips). The good performance of the bootstrap method validates its use to obtain reliable error estimates in further regression and/or classiffication studies on discard data. Report North Atlantic Northeast Atlantic Instituto Español de Oceanografía: e-IEO Hake ENVELOPE(15.612,15.612,66.797,66.797)
spellingShingle Santos-Blanco, J. (Juan)
Carbonell, A. (Ana)
Pérez-Contreras, M.N. (María Nélida)
Some applications of the bootstrap in Spanish Discards Sampling Scheme
title Some applications of the bootstrap in Spanish Discards Sampling Scheme
title_full Some applications of the bootstrap in Spanish Discards Sampling Scheme
title_fullStr Some applications of the bootstrap in Spanish Discards Sampling Scheme
title_full_unstemmed Some applications of the bootstrap in Spanish Discards Sampling Scheme
title_short Some applications of the bootstrap in Spanish Discards Sampling Scheme
title_sort some applications of the bootstrap in spanish discards sampling scheme
url http://hdl.handle.net/10508/3652