2 resultados para ITS region
em Collection Of Biostatistics Research Archive
Filtro por publicador
- KUPS-Datenbank - Universität zu Köln - Kölner UniversitätsPublikationsServer (1)
- University of Cagliari UniCA Eprints (1)
- Abertay Research Collections - Abertay University’s repository (1)
- Aberystwyth University Repository - Reino Unido (1)
- Academic Archive On-line (Stockholm University; Sweden) (1)
- Academic Research Repository at Institute of Developing Economies (2)
- Acceda, el repositorio institucional de la Universidad de Las Palmas de Gran Canaria. España (1)
- Adam Mickiewicz University Repository (1)
- AMS Tesi di Dottorato - Alm@DL - Università di Bologna (5)
- AMS Tesi di Laurea - Alm@DL - Università di Bologna (1)
- Andina Digital - Repositorio UASB-Digital - Universidade Andina Simón Bolívar (1)
- Aquatic Commons (25)
- ArchiMeD - Elektronische Publikationen der Universität Mainz - Alemanha (10)
- Archive of European Integration (20)
- Archivo Digital para la Docencia y la Investigación - Repositorio Institucional de la Universidad del País Vasco (3)
- Aston University Research Archive (6)
- Biblioteca Digital | Sistema Integrado de Documentación | UNCuyo - UNCUYO. UNIVERSIDAD NACIONAL DE CUYO. (1)
- Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (32)
- Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (BDPI/USP) (15)
- Biblioteca Digital de la Universidad Católica Argentina (1)
- Bioline International (1)
- BORIS: Bern Open Repository and Information System - Berna - Suiça (39)
- Brock University, Canada (3)
- Bucknell University Digital Commons - Pensilvania - USA (2)
- CaltechTHESIS (5)
- Cambridge University Engineering Department Publications Database (3)
- CentAUR: Central Archive University of Reading - UK (38)
- Chinese Academy of Sciences Institutional Repositories Grid Portal (59)
- Cochin University of Science & Technology (CUSAT), India (9)
- Collection Of Biostatistics Research Archive (2)
- Comissão Econômica para a América Latina e o Caribe (CEPAL) (27)
- CORA - Cork Open Research Archive - University College Cork - Ireland (3)
- Corvinus Research Archive - The institutional repository for the Corvinus University of Budapest (1)
- CUNY Academic Works (1)
- Dalarna University College Electronic Archive (1)
- Deakin Research Online - Australia (36)
- DI-fusion - The institutional repository of Université Libre de Bruxelles (1)
- Digital Commons - Michigan Tech (5)
- Digital Commons at Florida International University (5)
- DigitalCommons - The University of Maine Research (3)
- DigitalCommons@The Texas Medical Center (10)
- Doria (National Library of Finland DSpace Services) - National Library of Finland, Finland (1)
- DRUM (Digital Repository at the University of Maryland) (3)
- Duke University (3)
- eResearch Archive - Queensland Department of Agriculture; Fisheries and Forestry (15)
- FAUBA DIGITAL: Repositorio institucional científico y académico de la Facultad de Agronomia de la Universidad de Buenos Aires (4)
- Glasgow Theses Service (1)
- Harvard University (28)
- Helda - Digital Repository of University of Helsinki (13)
- Indian Institute of Science - Bangalore - Índia (55)
- Institute of Public Health in Ireland, Ireland (1)
- Instituto Gulbenkian de Ciência (1)
- Instituto Politécnico do Porto, Portugal (3)
- Lume - Repositório Digital da Universidade Federal do Rio Grande do Sul (1)
- Memoria Académica - FaHCE, UNLP - Argentina (3)
- National Center for Biotechnology Information - NCBI (66)
- Nottingham eTheses (2)
- Plymouth Marine Science Electronic Archive (PlyMSEA) (3)
- Portal de Revistas Científicas Complutenses - Espanha (3)
- Publishing Network for Geoscientific & Environmental Data (34)
- QUB Research Portal - Research Directory and Institutional Repository for Queen's University Belfast (35)
- Queensland University of Technology - ePrints Archive (57)
- Repositório Alice (Acesso Livre à Informação Científica da Embrapa / Repository Open Access to Scientific Information from Embrapa) (5)
- Repositório Científico da Universidade de Évora - Portugal (4)
- Repositório digital da Fundação Getúlio Vargas - FGV (2)
- Repositório Institucional da Universidade de Aveiro - Portugal (2)
- Repositório Institucional da Universidade Estadual de São Paulo - UNESP (1)
- Repositório Institucional UNESP - Universidade Estadual Paulista "Julio de Mesquita Filho" (124)
- RUN (Repositório da Universidade Nova de Lisboa) - FCT (Faculdade de Cienecias e Technologia), Universidade Nova de Lisboa (UNL), Portugal (2)
- SAPIENTIA - Universidade do Algarve - Portugal (8)
- Scielo España (1)
- Scielo Uruguai (1)
- Universidad de Alicante (5)
- Universidad del Rosario, Colombia (3)
- Universidad Politécnica de Madrid (9)
- Universidade Complutense de Madrid (1)
- Universidade dos Açores - Portugal (1)
- Universidade Estadual Paulista "Júlio de Mesquita Filho" (UNESP) (3)
- Universidade Federal do Pará (9)
- Universidade Federal do Rio Grande do Norte (UFRN) (2)
- Universita di Parma (1)
- Universitätsbibliothek Kassel, Universität Kassel, Germany (3)
- Université de Lausanne, Switzerland (1)
- Université de Montréal, Canada (7)
- University of Michigan (10)
- University of Queensland eSpace - Australia (12)
- University of Washington (3)
- USA Library of Congress (1)
Resumo:
Under a two-level hierarchical model, suppose that the distribution of the random parameter is known or can be estimated well. Data are generated via a fixed, but unobservable realization of this parameter. In this paper, we derive the smallest confidence region of the random parameter under a joint Bayesian/frequentist paradigm. On average this optimal region can be much smaller than the corresponding Bayesian highest posterior density region. The new estimation procedure is appealing when one deals with data generated under a highly parallel structure, for example, data from a trial with a large number of clinical centers involved or genome-wide gene-expession data for estimating individual gene- or center-specific parameters simultaneously. The new proposal is illustrated with a typical microarray data set and its performance is examined via a small simulation study.