Zobrazeno 1 - 10
of 42
pro vyhledávání: '"Rodrigo B. Silva"'
Publikováno v:
Anais da Academia Brasileira de Ciências, Vol 91, Iss 1 (2019)
Abstract: In this paper, we introduce a new three-parameter distribution by compounding the Nadarajah-Haghighi and geometric distributions, which can be interpreted as a truncated Marshall-Olkin extended Weibull. The compounding procedure is based on
Externí odkaz:
https://doaj.org/article/0a03f9e2cc8c45f6a522337d4cec61db
Autor:
Abraao D.C. Nascimento, Marcelo Bourguignon, Luz M. Zea, Manoel Santos-Neto, Rodrigo B. Silva, Gauss M. Cordeiro
Publikováno v:
Journal of Statistical Theory and Applications (JSTA), Vol 13, Iss 1 (2014)
We introduce a new family of distributions called the gamma extended Weibull family. The proposed family includes several well-known models as special cases and defines at least seventeen new special models. Structural properties of this family are s
Externí odkaz:
https://doaj.org/article/b84e00dfc96245b4ab560353df748547
Publikováno v:
Journal of Statistical Theory and Applications (JSTA), Vol 12, Iss 2 (2013)
The modeling and analysis of lifetimes is an important aspect of statistical work in a wide variety of scientific and technological fields. For the first time, the called Kumaraswamy Pareto distribution, is introduced and studied. The new distributio
Externí odkaz:
https://doaj.org/article/0c5961efa1f343d99fdc5b609cb6c931
Introduction: Mathematicians and statisticians have made significant academic progress on the subject of distribution theory in the last two decades, and this area of study is becoming one of the main statistical tools for the analysis of lifetime (s
Autor:
Pedro Rafael D Marinho, Rodrigo B Silva, Marcelo Bourguignon, Gauss M Cordeiro, Saralees Nadarajah
Publikováno v:
PLoS ONE, Vol 14, Iss 8, p e0221487 (2019)
Several lifetime distributions have played an important role to fit survival data. However, for some of these models, the computation of maximum likelihood estimators is quite difficult due to presence of flat regions in the search space, among other
Externí odkaz:
https://doaj.org/article/7b471150f318487487f9cb513e633607
Publikováno v:
TEST.
We propose a novel class of first-order integer-valued AutoRegressive (INAR(1)) models based on a new operator, the so-called geometric thinning operator, which induces a certain non-linearity to the models. We show that this non-linearity can produc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a1751e15cec844426ed72e402764da18
https://doi.org/10.1007/s11749-023-00849-y
https://doi.org/10.1007/s11749-023-00849-y
Autor:
Rodrigo B. Silva, Wagner Barreto-Souza
Publikováno v:
Journal of Time Series Analysis. 40:788-814
In this article, we propose a general class of INteger‐valued Generalized AutoRegressive Conditional Heteroskedastic (INGARCH) models based on a flexible family of mixed Poisson (MP) distributions. Our proposed class of count time series models con
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::78a37c5454f637147812f6e45e939bab
https://doi.org/10.1111/jtsa.12459
https://doi.org/10.1111/jtsa.12459
Publikováno v:
Recent Advances in Lifetime and Reliability Models
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::85327b0e67e77dccd1ee1897d92b78fa
https://doi.org/10.2174/9781681083452120010007
https://doi.org/10.2174/9781681083452120010007
Publikováno v:
Recent Advances in Lifetime and Reliability Models
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3fbde7781de214fd38833e22386dacac
https://doi.org/10.2174/9781681083452120010009
https://doi.org/10.2174/9781681083452120010009