Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Tatiane F N Melo"'
Publikováno v:
DRd - Desenvolvimento Regional em debate. 12:167-186
O objetivo deste trabalho é realizar reflexão sobre a aplicação dos Modelos Lineares Mistos para a análise do Índice de Desempenho dos Municípios (IDM) do Estado de Goiás para os anos de 2012, 2014, 2016 e 2018. Para isso realizamos uma revis
Autor:
Deller James Ferreira, Kelly Ruas, Vivian Laís Barreto, Tatiane F. N. Melo, Mariana Soller Ramada, Rupert Wegerif
Publikováno v:
Educação e Pesquisa, Vol 43, Iss 2, Pp 427-451 (2016)
Resumo Um dos temas mais importantes na aprendizagem colaborativa apoiada pelo computador é a autorregulação da aprendizagem sem o apoio de professores. A autorregulação da colaboração pode ser definida como o conjunto dos processos sociais qu
Externí odkaz:
https://doaj.org/article/3c5e73bf78274884bd509f030f887000
Publikováno v:
International Journal of Information and Communication Technology Education. 17:72-87
Previous research points that computer-supported collaborative learning is an educational approach that suits blind students, because they have high verbal capacity. The authors believe that both sighted and blind students may gain from knowledge sha
Publikováno v:
Communications in Statistics - Theory and Methods. 49:5765-5777
In this paper we consider the multivariate Dirichlet regression model proposed by Melo et al. (2009), which is tailored to situations where the multivariate response consists of multivariate positi...
Publikováno v:
Journal of Web Engineering.
Despite the abundance of research into usability and user experience (UX), there are few works approaching how the context influences the relationships between these two concepts. The actual experience of a user highly depends on personal characteris
Publikováno v:
International Journal of Information and Communication Technology Education. 14:15-28
This article describes how it is due to the fact that computer science is present in many activities of daily life, students need to develop skills to solve problems to improve the lives of people in general. This article investigates correlations be
Autor:
Matheus Rudolfo Diedrich Ullmann, Tatiane F. N. Melo, Ana Paula Ambrosio, Deller James Ferreira, Tiago do Carmo Nogueira
Publikováno v:
FIE
Computer science is pervasive, being present in daily life. Computer science students need to develop skills to solve computational problems involving real-world applications. The study presents an exploratory case study that examined the perceptions
Publikováno v:
Repositório Institucional da USP (Biblioteca Digital da Produção Intelectual)
Universidade de São Paulo (USP)
instacron:USP
Braz. J. Probab. Stat. 32, no. 1 (2018), 44-68
Universidade de São Paulo (USP)
instacron:USP
Braz. J. Probab. Stat. 32, no. 1 (2018), 44-68
The problem of reducing the bias of maximum likelihood estimator in a general multivariate elliptical regression model is considered. The model is very flexible and allows the mean vector and the dispersion matrix to have parameters in common. Many f
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8d71ff5cb27eadc8595f9aa33344f036
Publikováno v:
Repositório Institucional da USP (Biblioteca Digital da Produção Intelectual)
Universidade de São Paulo (USP)
instacron:USP
Universidade de São Paulo (USP)
instacron:USP
This paper investigates improved testing inferences under a general multivariate elliptical regression model. The model is very flexible in terms of the specification of the mean vector and the dispersion matrix, and of the choice of the error distri
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b725473d07af12af92a201efd5c14c3d
Autor:
Silvia Ferrari, Tatiane F. N. Melo
Publikováno v:
Repositório Institucional da USP (Biblioteca Digital da Produção Intelectual)
Universidade de São Paulo (USP)
instacron:USP
Universidade de São Paulo (USP)
instacron:USP
In this paper, we obtain an adjusted version of the likelihood ratio (LR) test for errors-in-variables multivariate linear regression models. The error terms are allowed to follow a multivariate distribution in the class of the elliptical distributio