1 resultado para Philipp I, der Grossmütige, landgrave of Hesse, 1504-1567.
em Collection Of Biostatistics Research Archive
Filtro por publicador
- ABACUS. Repositorio de Producción Científica - Universidad Europea (1)
- Abertay Research Collections - Abertay University’s repository (1)
- Academic Research Repository at Institute of Developing Economies (1)
- Adam Mickiewicz University Repository (2)
- AMS Tesi di Laurea - Alm@DL - Università di Bologna (2)
- Aquatic Commons (6)
- ArchiMeD - Elektronische Publikationen der Universität Mainz - Alemanha (34)
- Archive of European Integration (48)
- Archivo Digital para la Docencia y la Investigación - Repositorio Institucional de la Universidad del País Vasco (1)
- Aston University Research Archive (6)
- Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (2)
- Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (BDPI/USP) (2)
- Biodiversity Heritage Library, United States (1)
- BORIS: Bern Open Repository and Information System - Berna - Suiça (33)
- Brock University, Canada (3)
- CaltechTHESIS (13)
- Cambridge University Engineering Department Publications Database (8)
- CentAUR: Central Archive University of Reading - UK (14)
- Center for Jewish History Digital Collections (4)
- Chinese Academy of Sciences Institutional Repositories Grid Portal (28)
- Collection Of Biostatistics Research Archive (1)
- Comissão Econômica para a América Latina e o Caribe (CEPAL) (5)
- CORA - Cork Open Research Archive - University College Cork - Ireland (1)
- Corvinus Research Archive - The institutional repository for the Corvinus University of Budapest (1)
- Dalarna University College Electronic Archive (3)
- Deakin Research Online - Australia (20)
- DI-fusion - The institutional repository of Université Libre de Bruxelles (1)
- Digital Archives@Colby (1)
- Digital Commons - Michigan Tech (1)
- Digital Commons @ Winthrop University (2)
- Digital Commons at Florida International University (2)
- DigitalCommons@The Texas Medical Center (5)
- DigitalCommons@University of Nebraska - Lincoln (13)
- Digitale Sammlungen - Goethe-Universität Frankfurt am Main (8)
- DRUM (Digital Repository at the University of Maryland) (2)
- Ecology and Society (1)
- eResearch Archive - Queensland Department of Agriculture; Fisheries and Forestry (22)
- Fachlicher Dokumentenserver Paedagogik/Erziehungswissenschaften (1)
- Glasgow Theses Service (1)
- Greenwich Academic Literature Archive - UK (2)
- Harvard University (2)
- Helda - Digital Repository of University of Helsinki (73)
- Helvia: Repositorio Institucional de la Universidad de Córdoba (1)
- Illinois Digital Environment for Access to Learning and Scholarship Repository (2)
- Indian Institute of Science - Bangalore - Índia (117)
- INSTITUTO DE PESQUISAS ENERGÉTICAS E NUCLEARES (IPEN) - Repositório Digital da Produção Técnico Científica - BibliotecaTerezine Arantes Ferra (1)
- Instituto Politécnico do Porto, Portugal (1)
- Iowa Publications Online (IPO) - State Library, State of Iowa (Iowa), United States (2)
- Ministerio de Cultura, Spain (1)
- National Center for Biotechnology Information - NCBI (22)
- Plymouth Marine Science Electronic Archive (PlyMSEA) (6)
- Portal de Revistas Científicas Complutenses - Espanha (6)
- Publishing Network for Geoscientific & Environmental Data (26)
- QUB Research Portal - Research Directory and Institutional Repository for Queen's University Belfast (36)
- Queensland University of Technology - ePrints Archive (176)
- Repositorio Institucional de la Universidad de La Laguna (1)
- Repositório Institucional UNESP - Universidade Estadual Paulista "Julio de Mesquita Filho" (15)
- Royal College of Art Research Repository - Uninet Kingdom (1)
- SerWisS - Server für Wissenschaftliche Schriften der Fachhochschule Hannover (1)
- Universidad de Alicante (1)
- Universidad del Rosario, Colombia (4)
- Universidade Complutense de Madrid (1)
- Universidade Federal do Pará (1)
- Universitätsbibliothek Kassel, Universität Kassel, Germany (8)
- Université de Montréal, Canada (2)
- University of Connecticut - USA (2)
- University of Michigan (149)
- University of Queensland eSpace - Australia (9)
Resumo:
A method is given for proving efficiency of NPMLE directly linked to empirical process theory. The conditions in general are appropriate consistency of the NPMLE, differentiability of the model, differentiability of the parameter of interest, local convexity of the parameter space, and a Donsker class condition for the class of efficient influence functions obtained by varying the parameters. For the case that the model is linear in the parameter and the parameter space is convex, as with most nonparametric missing data models, we show that the method leads to an identity for the NPMLE which almost says that the NPMLE is efficient and provides us straightforwardly with a consistency and efficiency proof. This identify is extended to an almost linear class of models which contain biased sampling models. To illustrate, the method is applied to the univariate censoring model, random truncation models, interval censoring case I model, the class of parametric models and to a class of semiparametric models.