Zobrazeno 1 - 10
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pro vyhledávání: '"Antonio E. Gomes"'
Autor:
Antonio E. Gomes, Cibele Q. da-Silva, Luiz Henrique Duczmal, Fernando Luiz Pereira de Oliveira, André Luiz Fernandes Cançado
Publikováno v:
Environmental and Ecological Statistics. 23:435-451
The scan statistic is widely used in spatial cluster detection applications of inhomogeneous Poisson processes. The most popular variant of the spatial scan is the circular scan. However, such approach has several limitations, in particular, the circ
Publikováno v:
Communications in Statistics - Theory and Methods. 44:4217-4240
We study a new family of distributions defined by the minimum of the Poisson random number of independent identically distributed random variables having a general exponentiated G distribution. Some mathematical properties of the new family including
Publikováno v:
Journal of Statistical Computation and Simulation. 84:2524-2544
We introduce an extended Burr III distribution as an important model for problems in survival analysis and reliability. The new distribution can be expressed as a linear combination of Burr III distributions and then it has tractable properties for t
Publikováno v:
Communications in Statistics - Theory and Methods. 44:1706-1734
We propose two new six-parameter distributions, called the McDonald Burr III and McDonald Burr XII models, which contain some recently published distributions as special models. We provide a comprehensive description of some of their mathematical pro
Autor:
Cibele Q. da-Silva, André Luiz Fernandes Cançado, Antonio E. Gomes, Fernando Luiz Pereira de Oliveira, Luiz Henrique Duczmal
Publikováno v:
Handbook of Scan Statistics ISBN: 9781461484141
Handbook of Scan Statistics
Handbook of Scan Statistics
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6f8eb4d852a9375560b7401a14a75dea
https://doi.org/10.1007/978-1-4614-8414-1_38-1
https://doi.org/10.1007/978-1-4614-8414-1_38-1
Publikováno v:
Repositório Institucional da USP (Biblioteca Digital da Produção Intelectual)
Universidade de São Paulo (USP)
instacron:USP
Journal of Statistical Distributions and Applications, Vol 4, Iss 1, Pp 1-15 (2017)
Universidade de São Paulo (USP)
instacron:USP
Journal of Statistical Distributions and Applications, Vol 4, Iss 1, Pp 1-15 (2017)
For any continuous baseline G distribution, Zografos and Balakrishnan (Statistical Methodology 6:344–362, 2009) introduced the gamma-generated family of distributions with an extra shape parameter. Based on this family, we define a new four-paramet
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7778faea5b6322014f8d6a1589fada4d
Publikováno v:
Journal of Statistical Computation and Simulation. 83:114-138
The Weibull distribution is one of the most important distributions in reliability. For the first time, we introduce the beta exponentiated Weibull distribution which extends recent models by Lee et al. [Beta-Weibull distribution: some properties and
Autor:
Gauss M. Cordeiro, Edwin M. M. Ortega, Maria do Carmo S. Lima, Antonio E. Gomes, Cibele Q. da-Silva
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
The two-parameter Weibull has been the most popular distribution for modeling lifetime data. We propose a four-parameter gamma extended Weibull model, which generalizes the Weibull and extended Weibull distributions, among several other models. We ob
Autor:
Antonio E. Gomes, Cibele Q. da-Silva
Publikováno v:
Computational Statistics & Data Analysis. 55:3165-3182
We develop a Bayesian binary Item Response Model (IRM), which we denote as Test Anxiety Model (TAM), for estimating the proficiency scores when individuals might experience test anxiety. We consider order restricted item parameters conditionally to t
Autor:
Antonio E. Gomes
Publikováno v:
Annals of the Institute of Statistical Mathematics. 56:683-700
In carcinogenicity experiments with animals where the tumor is not palpable it is common to observe only the time of death of the animal, the cause of death (the tumor or another independent cause, as sacrifice) and whether the tumor was present at t