Výsledky vyhledávání - "Eliane C. Pinheiro"

Higher-order approximate confidence intervals

Autor: Silvia Ferrari, Francisco M.C. Medeiros, Eliane C. Pinheiro

Publikováno v: Repositório Institucional da USP (Biblioteca Digital da Produção Intelectual)
Universidade de São Paulo (USP)
instacron:USP

Standard confidence intervals employed in applied statistical analysis are usually based on asymptotic approximations. Such approximations can be considerably inaccurate in small and moderate sized samples. We derive accurate confidence intervals bas

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::96b3c40a0ae0809721965ec0c1b32e8b
https://doi.org/10.1016/j.jspi.2020.11.013

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Adolf von Hildebrand, Victor Brecheret e a imagem a distância

Autor: Eliane C. Pinheiro

Publikováno v: Atas do 14º....

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::54df89ba82337892573a715aaa11f2b2
https://doi.org/10.20396/eha.vi14.3407

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Small-sample one-sided testing in extreme value regression models

Autor: Eliane C. Pinheiro, Silvia Ferrari

Publikováno v: Repositório Institucional da USP (Biblioteca Digital da Produção Intelectual)
Universidade de São Paulo (USP)
instacron:USP

We derive adjusted signed likelihood ratio statistics for a general class of extreme value regression models. The adjustments reduce the error in the standard normal approximation to the distribution of the signed likelihood ratio statistic. We use M

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Improved likelihood inference in beta regression

Autor: Eliane C. Pinheiro, Silvia Ferrari

Publikováno v: Repositório Institucional da USP (Biblioteca Digital da Produção Intelectual)
Universidade de São Paulo (USP)
instacron:USP

We consider the issue of performing accurate small-sample likelihood-based inference in beta regression models, which are useful for modelling continuous proportions that are affected by independent variables. We derive small-sample adjustments to th

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d9d7841b203417084d9ab9e1d221ca12
https://doi.org/10.1080/00949650903389993

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Contribuições em inferência e modelagem de valores extremos

Autor: Eliane C. Pinheiro

Publikováno v: Biblioteca Digital de Teses e Dissertações da USP
Universidade de São Paulo (USP)
instacron:USP

A teoria do valor extremo é aplicada em áreas de pesquisa tais como hidrologia, estudos de poluição, engenharia de materiais, controle de tráfego e economia. A distribuição valor extremo ou Gumbel é amplamente utilizada na modelagem de valore

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7a4d94e9a57b07c6bc81315c5c977d3d
https://doi.org/10.11606/t.45.2013.tde-24062014-145858

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Ajustes para o teste da razão de verossimilhanças em modelos de regressão beta

Autor: Eliane C. Pinheiro

Publikováno v: Biblioteca Digital de Teses e Dissertações da USP
Universidade de São Paulo (USP)
instacron:USP

O presente trabalho considera o problema de fazer inferência com acurácia para pequenas amostras, tomando por base a estatística da razão de verossimilhanças em modelos de regressão beta. Estes, por sua vez, são úteis para modelar proporçõe

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https://doi.org/10.11606/d.45.2009.tde-09072009-144049

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A comparative review of generalizations of the Gumbel extreme value distribution with an application to wind speed data

Autor: Silvia Ferrari, Eliane C. Pinheiro

Publikováno v: Repositório Institucional da USP (Biblioteca Digital da Produção Intelectual)
Universidade de São Paulo (USP)
instacron:USP

The generalized extreme value distribution and its particular case, the Gumbel extreme value distribution, are widely applied for extreme value analysis. The Gumbel distribution has certain drawbacks because it is a non-heavy-tailed distribution and

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Small-sample likelihood inference in extreme-value regression models

Autor: Eliane C. Pinheiro, Silvia Ferrari

Publikováno v: Repositório Institucional da USP (Biblioteca Digital da Produção Intelectual)
Universidade de São Paulo (USP)
instacron:USP

We deal with a general class of extreme-value regression models introduced by Barreto-Souza and Vasconcellos [Bias and skewness in a general extreme-value regression model, Comput. Statist. Data Anal. 55 (2011), pp. 1379–1393]. Our goal is to deriv

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Akademický článek

Box-Cox symmetric distributions and applications to nutritional data.

Autor: Ferrari, Silvia, Fumes, Giovana

Publikováno v: AStA Advances in Statistical Analysis; Jul2017, Vol. 101 Issue 3, p321-344, 24p

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