1 resultado para Family Characteristics
em Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (BDPI/USP)
Filtro por publicador
- Academic Research Repository at Institute of Developing Economies (2)
- AMS Tesi di Dottorato - Alm@DL - Università di Bologna (2)
- Aquatic Commons (6)
- Archive of European Integration (2)
- Aston University Research Archive (4)
- 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) (1)
- BORIS: Bern Open Repository and Information System - Berna - Suiça (13)
- Brock University, Canada (1)
- Bucknell University Digital Commons - Pensilvania - USA (1)
- CentAUR: Central Archive University of Reading - UK (2)
- Center for Jewish History Digital Collections (44)
- Chinese Academy of Sciences Institutional Repositories Grid Portal (2)
- Cochin University of Science & Technology (CUSAT), India (3)
- Collection Of Biostatistics Research Archive (1)
- CORA - Cork Open Research Archive - University College Cork - Ireland (3)
- Cornell: DigitalCommons@ILR (1)
- Corvinus Research Archive - The institutional repository for the Corvinus University of Budapest (3)
- Dalarna University College Electronic Archive (1)
- Deakin Research Online - Australia (37)
- Digital Commons @ DU | University of Denver Research (1)
- Digital Commons at Florida International University (3)
- Digital Peer Publishing (1)
- DigitalCommons@The Texas Medical Center (13)
- DigitalCommons@University of Nebraska - Lincoln (1)
- DRUM (Digital Repository at the University of Maryland) (1)
- Duke University (7)
- eResearch Archive - Queensland Department of Agriculture; Fisheries and Forestry (15)
- Helda - Digital Repository of University of Helsinki (16)
- Indian Institute of Science - Bangalore - Índia (31)
- Ministerio de Cultura, Spain (1)
- National Center for Biotechnology Information - NCBI (9)
- Plymouth Marine Science Electronic Archive (PlyMSEA) (3)
- Portal de Revistas Científicas Complutenses - Espanha (1)
- Publishing Network for Geoscientific & Environmental Data (12)
- QUB Research Portal - Research Directory and Institutional Repository for Queen's University Belfast (18)
- Queensland University of Technology - ePrints Archive (627)
- Repositório Científico da Universidade de Évora - Portugal (2)
- Repositório digital da Fundação Getúlio Vargas - FGV (2)
- Repositório Institucional da Universidade de Aveiro - Portugal (1)
- Repositorio Institucional de la Universidad de Málaga (2)
- Repositório Institucional UNESP - Universidade Estadual Paulista "Julio de Mesquita Filho" (18)
- RUN (Repositório da Universidade Nova de Lisboa) - FCT (Faculdade de Cienecias e Technologia), Universidade Nova de Lisboa (UNL), Portugal (4)
- SAPIENTIA - Universidade do Algarve - Portugal (1)
- Scielo España (1)
- Universidad de Alicante (1)
- Universidad del Rosario, Colombia (3)
- Universidad Politécnica de Madrid (2)
- Universidade Estadual Paulista "Júlio de Mesquita Filho" (UNESP) (1)
- Universidade Federal do Pará (1)
- Universidade Federal do Rio Grande do Norte (UFRN) (1)
- Universita di Parma (2)
- Universitätsbibliothek Kassel, Universität Kassel, Germany (1)
- Université de Lausanne, Switzerland (3)
- Université de Montréal, Canada (10)
- Université Laval Mémoires et thèses électroniques (1)
- University of Michigan (12)
- University of Queensland eSpace - Australia (5)
Resumo:
In this article, we study some results related to a specific class of distributions, called skew-curved-symmetric family of distributions that depends on a parameter controlling the skewness and kurtosis at the same time. Special elements of this family which are studied include symmetric and well-known asymmetric distributions. General results are given for the score function and the observed information matrix. It is shown that the observed information matrix is always singular for some special cases. We illustrate the flexibility of this class of distributions with an application to a real dataset on characteristics of Australian athletes.