1 resultado para Habitat-dependent Selection
em Brunel University
Filtro por publicador
- Aberdeen University (1)
- Acceda, el repositorio institucional de la Universidad de Las Palmas de Gran Canaria. España (1)
- Aquatic Commons (12)
- ArchiMeD - Elektronische Publikationen der Universität Mainz - Alemanha (1)
- Archimer: Archive de l'Institut francais de recherche pour l'exploitation de la mer (1)
- Archivo Digital para la Docencia y la Investigación - Repositorio Institucional de la Universidad del País Vasco (1)
- Aston University Research Archive (1)
- Avian Conservation and Ecology - Eletronic Cientific Hournal - Écologie et conservation des oiseaux: (11)
- Biblioteca Digital | Sistema Integrado de Documentación | UNCuyo - UNCUYO. UNIVERSIDAD NACIONAL DE CUYO. (1)
- Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (4)
- Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (BDPI/USP) (8)
- Biblioteca Digital de Teses e Dissertações Eletrônicas da UERJ (1)
- BORIS: Bern Open Repository and Information System - Berna - Suiça (29)
- Boston University Digital Common (1)
- Brock University, Canada (2)
- Brunel University (1)
- Bucknell University Digital Commons - Pensilvania - USA (1)
- Cambridge University Engineering Department Publications Database (1)
- CentAUR: Central Archive University of Reading - UK (12)
- Center for Jewish History Digital Collections (1)
- Chinese Academy of Sciences Institutional Repositories Grid Portal (2)
- Collection Of Biostatistics Research Archive (2)
- Dalarna University College Electronic Archive (1)
- Deakin Research Online - Australia (49)
- Digital Archives@Colby (1)
- Digital Commons - Michigan Tech (4)
- Digital Commons at Florida International University (3)
- DigitalCommons - The University of Maine Research (2)
- DigitalCommons@The Texas Medical Center (1)
- DigitalCommons@University of Nebraska - Lincoln (1)
- DRUM (Digital Repository at the University of Maryland) (2)
- Duke University (1)
- eResearch Archive - Queensland Department of Agriculture; Fisheries and Forestry (45)
- FUNDAJ - Fundação Joaquim Nabuco (1)
- Glasgow Theses Service (1)
- Helda - Digital Repository of University of Helsinki (57)
- Indian Institute of Science - Bangalore - Índia (181)
- Instituto Gulbenkian de Ciência (2)
- Memorial University Research Repository (2)
- National Center for Biotechnology Information - NCBI (19)
- Plymouth Marine Science Electronic Archive (PlyMSEA) (7)
- Publishing Network for Geoscientific & Environmental Data (8)
- QUB Research Portal - Research Directory and Institutional Repository for Queen's University Belfast (14)
- Queensland University of Technology - ePrints Archive (412)
- Repositório Científico da Universidade de Évora - Portugal (2)
- Repositório digital da Fundação Getúlio Vargas - FGV (3)
- Repositório Institucional da Universidade Estadual de São Paulo - UNESP (1)
- Repositório Institucional UNESP - Universidade Estadual Paulista "Julio de Mesquita Filho" (25)
- SAPIENTIA - Universidade do Algarve - Portugal (1)
- Universidad de Alicante (2)
- Universidad Politécnica de Madrid (7)
- Universidade dos Açores - Portugal (1)
- Universidade Estadual Paulista "Júlio de Mesquita Filho" (UNESP) (1)
- Universidade Federal do Rio Grande do Norte (UFRN) (1)
- Universitat de Girona, Spain (1)
- Universitätsbibliothek Kassel, Universität Kassel, Germany (2)
- Université de Lausanne, Switzerland (3)
- Université de Montréal, Canada (4)
- University of Canberra Research Repository - Australia (2)
- University of Michigan (2)
- University of Queensland eSpace - Australia (17)
- University of Washington (1)
Resumo:
Sequential panel selection methods (spsms — procedures that sequentially use conventional panel unit root tests to identify I(0)I(0) time series in panels) are increasingly used in the empirical literature. We check the reliability of spsms by using Monte Carlo simulations based on generating directly the individual asymptotic pp values to be combined into the panel unit root tests, in this way isolating the classification abilities of the procedures from the small sample properties of the underlying univariate unit root tests. The simulations consider both independent and cross-dependent individual test statistics. Results suggest that spsms may offer advantages over time series tests only under special conditions.