1 resultado para Automatic Analysis of Multivariate Categorical Data Sets
em SAPIENTIA - Universidade do Algarve - Portugal
Filtro por publicador
- Aberdeen University (2)
- Academic Archive On-line (Stockholm University; Sweden) (1)
- Academic Research Repository at Institute of Developing Economies (3)
- Acceda, el repositorio institucional de la Universidad de Las Palmas de Gran Canaria. España (1)
- AMS Tesi di Dottorato - Alm@DL - Università di Bologna (11)
- AMS Tesi di Laurea - Alm@DL - Università di Bologna (5)
- ArchiMeD - Elektronische Publikationen der Universität Mainz - Alemanha (2)
- Archive of European Integration (6)
- Aston University Research Archive (5)
- Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (18)
- Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (BDPI/USP) (31)
- Bioline International (1)
- BORIS: Bern Open Repository and Information System - Berna - Suiça (85)
- Bulgarian Digital Mathematics Library at IMI-BAS (2)
- CentAUR: Central Archive University of Reading - UK (85)
- CiencIPCA - Instituto Politécnico do Cávado e do Ave, Portugal (1)
- Cochin University of Science & Technology (CUSAT), India (13)
- Collection Of Biostatistics Research Archive (13)
- Comissão Econômica para a América Latina e o Caribe (CEPAL) (3)
- Consorci de Serveis Universitaris de Catalunya (CSUC), Spain (53)
- Corvinus Research Archive - The institutional repository for the Corvinus University of Budapest (1)
- Department of Computer Science E-Repository - King's College London, Strand, London (2)
- Digital Commons - Michigan Tech (5)
- Digital Commons at Florida International University (3)
- Digital Knowledge Repository of Central Drug Research Institute (1)
- Digital Peer Publishing (2)
- DigitalCommons@The Texas Medical Center (25)
- DigitalCommons@University of Nebraska - Lincoln (2)
- Doria (National Library of Finland DSpace Services) - National Library of Finland, Finland (17)
- Duke University (2)
- FUNDAJ - Fundação Joaquim Nabuco (1)
- Georgian Library Association, Georgia (1)
- Institute of Public Health in Ireland, Ireland (6)
- Instituto Gulbenkian de Ciência (2)
- Instituto Politécnico do Porto, Portugal (14)
- Iowa Publications Online (IPO) - State Library, State of Iowa (Iowa), United States (4)
- Lume - Repositório Digital da Universidade Federal do Rio Grande do Sul (2)
- Martin Luther Universitat Halle Wittenberg, Germany (5)
- Massachusetts Institute of Technology (1)
- National Center for Biotechnology Information - NCBI (12)
- Nottingham eTheses (1)
- Publishing Network for Geoscientific & Environmental Data (177)
- QUB Research Portal - Research Directory and Institutional Repository for Queen's University Belfast (2)
- Repositório Científico do Instituto Politécnico de Lisboa - Portugal (6)
- Repositório da Produção Científica e Intelectual da Unicamp (1)
- Repositório digital da Fundação Getúlio Vargas - FGV (2)
- Repositório Institucional UNESP - Universidade Estadual Paulista "Julio de Mesquita Filho" (42)
- RUN (Repositório da Universidade Nova de Lisboa) - FCT (Faculdade de Cienecias e Technologia), Universidade Nova de Lisboa (UNL), Portugal (5)
- SAPIENTIA - Universidade do Algarve - Portugal (1)
- Scielo Saúde Pública - SP (17)
- Scottish Institute for Research in Economics (SIRE) (SIRE), United Kingdom (1)
- Universidad de Alicante (4)
- Universidad del Rosario, Colombia (2)
- Universidad Politécnica de Madrid (23)
- Universidade Complutense de Madrid (4)
- Universidade de Lisboa - Repositório Aberto (1)
- Universidade do Minho (3)
- Universidade dos Açores - Portugal (4)
- Universidade Federal do Pará (1)
- Universidade Técnica de Lisboa (1)
- Universitat de Girona, Spain (10)
- Université de Lausanne, Switzerland (76)
- Université de Montréal, Canada (6)
- University of Connecticut - USA (4)
- University of Michigan (53)
- University of Queensland eSpace - Australia (26)
- University of Southampton, United Kingdom (1)
- University of Washington (1)
Resumo:
Min/max autocorrelation factor analysis (MAFA) and dynamic factor analysis (DFA) are complementary techniques for analysing short (> 15-25 y), non-stationary, multivariate data sets. We illustrate the two techniques using catch rate (cpue) time-series (1982-2001) for 17 species caught during trawl surveys off Mauritania, with the NAO index, an upwelling index, sea surface temperature, and an index of fishing effort as explanatory variables. Both techniques gave coherent results, the most important common trend being a decrease in cpue during the latter half of the time-series, and the next important being an increase during the first half. A DFA model with SST and UPW as explanatory variables and two common trends gave good fits to most of the cpue time-series. (c) 2004 International Council for the Exploration of the Sea. Published by Elsevier Ltd. All rights reserved.