Zobrazeno 1 - 10 of 12 pro vyhledávání: '"Alex L. Mota"'
1
Akademický článek
Improved objective Bayesian estimator for a PLP model hierarchically represented subject to competing risks under minimal repair regime.
Autor: Francisco Louzada, José A Cuminato, Oscar M H Rodriguez, Vera L D Tomazella, Paulo H Ferreira, Pedro L Ramos, Eder A Milani, Gustavo Bochio, Ivan C Perissini, Oilson A Gonzatto Junior, Alex L Mota, Luis F A Alegría, Danilo Colombo, Eduardo A Perondi, André V Wentz, Anselmo L Silva Júnior, Dante A C Barone, Hugo F L Santos, Marcus V C Magalhães
Publikováno v: PLoS ONE, Vol 16, Iss 8, p e0255944 (2021)
In this paper, we propose a hierarchical statistical model for a single repairable system subject to several failure modes (competing risks). The paper describes how complex engineered systems may be modelled hierarchically by use of Bayesian methods
Externí odkaz: https://doaj.org/article/f1762016c4b34224b722f68ef584eb47
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3
Nonproportional hazards model with a frailty term for modeling subgroups with evidence of long‐term survivors: Application to a lung cancer dataset
Autor: Amanda Buosi Gazon, Vinicius F. Calsavara, Vera Tomazella, Alex L. Mota, Eder Angelo Milani, Francisco Louzada
Publikováno v: Repositório Institucional da USP (Biblioteca Digital da Produção Intelectual)
Universidade de São Paulo (USP)
instacron:USP
With advancements in medical treatments for cancer, an increase in the life expectancy of patients undergoing new treatments is expected. Consequently, the field of statistics has evolved to present increasingly flexible models to explain such result
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9830a8c4b84fda6b7bdd9495cccd9754
https://doi.org/10.1002/bimj.202000292
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4
A Reparameterized Weighted Lindley Distribution: Properties, Estimation and Applications
Autor: Paulo H. Ferreira, Alex L. Mota, Vera Tomazella, Francisco Louzada, Pedro Luiz Ramos
Publikováno v: Repositório Institucional da USP (Biblioteca Digital da Produção Intelectual)
Universidade de São Paulo (USP)
instacron:USP
In this paper, we discuss several mathematical properties and estimation methods for a reparameterized version of the weighted Lindley (RWL) distribution. The RWL distribution can be particularly useful for modeling reliability (survival) data with b
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b4a36a357da8337e20a13c79976fe7c1
https://doi.org/10.15446/rce.v44n1.86566
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5
The Lehmann type II inverse Weibull distribution in the presence of censored data
Autor: Paulo H. Ferreira, Francisco Louzada, Pedro Luiz Ramos, Vera Tomazella, Alex L. Mota
Publikováno v: Repositório Institucional da USP (Biblioteca Digital da Produção Intelectual)
Universidade de São Paulo (USP)
instacron:USP
In this article, we investigate the mathematical properties of the Lehmann type II inverse Weibull distribution. We show that this model is a reparameterized version of the Kumaraswamy-inverse Weib...
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::682c5afebe11f708f39b96f13490bfaa
https://doi.org/10.1080/03610918.2020.1823000
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6
ZIP Code Versus Georeference
Autor: Jorge L. Bazan, Thaicia S. de Almeida, Mauricio M. Ferreira, Daniel C. F. Guzman, Francisco Louzada, Milton Miranda, Alex L. Mota, Socorro Rangel, Cibele M. Russo, Lucas A. Santos, Franklina Toledo, Maristela O. Santos, José Alberto Cuminato
When dealing with predictive modeling of credit-granting, different types of attributes are used: Cadastral, Behavioral, Business / Proposal, Credit Bureaux, in addition to Public, Private or Subsidiaries Sources. The Postal Address Code (Código de
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::3c1c13fb57e00f80ed3110575096b22f
https://doi.org/10.33774/miir-2021-4lgsp-v3
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7
ZIP Code Versus Georeference
Autor: Mauricio M. Ferreira, Francisco Louzada, Milton Miranda, Maristela Oliveira dos Santos, Socorro Rangel, Thaicia S. de Almeida, Cibele M. Russo, Alex L. Mota, Daniel C. F. Guzman, Lucas A. Santos, Jorge Luis Bazán, Franklina Maria Bragion de Toledo
When dealing with predictive modeling on credit-granting, different types of attributes are used: Cadastral, Behavioral, Business / Proposal, Credit Bureaux, in addition to Public, Private or Subsidiaries Sources. The Postal Address Code (Código de
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fb4ff6f593f2e5d7759bc03597403b8d
https://doi.org/10.33774/miir-2021-4lgsp-v2
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8
Bayesian analysis of the inverse generalized gamma distribution using objective priors
Autor: Paulo H. Ferreira, Vera Tomazella, Eduardo Ramos, Francisco Louzada, Alex L. Mota, Pedro Luiz Ramos
Publikováno v: Repositório Institucional da USP (Biblioteca Digital da Produção Intelectual)
Universidade de São Paulo (USP)
instacron:USP
The inverse generalized gamma (IGG) distribution can be particularly useful for modelling reliability (survival) data with an upside-down bathtub hazard rate function. The mathematical properties a...
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a5a72cff16a49fb34d7c75fae1b371a7
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9
Weighted Lindley frailty model: estimation and application to lung cancer data
Autor: Francisco Louzada, Paulo H. Ferreira, Vinicius F. Calsavara, Eder Angelo Milani, Jeremias Leão, Vera Tomazella, Alex L. Mota, Pedro L. Ramos
Publikováno v: Repositório Institucional da USP (Biblioteca Digital da Produção Intelectual)
Universidade de São Paulo (USP)
instacron:USP
In this paper, we propose a novel frailty model for modeling unobserved heterogeneity present in survival data. Our model is derived by using a weighted Lindley distribution as the frailty distribution. The respective frailty distribution has a simpl
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9aaa4e4b2bec95941f866ef51f1b3e04
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10
Incorporation of frailties into a non-proportional hazard regression model and its diagnostics for reliability modeling of downhole safety valves
Autor: Paulo Guilherme Oliveira De Oliveira, Hugo Francisco Lisboa Santos, Alex L. Mota, Pedro Luiz Ramos, Eder Angelo Milani, Oilson Alberto Gonzatto Junior, José Alberto Cuminato, Luis F. A. Alegría, Ivan C. Perissini, P.H.D. Ferreira, Marcus V. C. Magalhães, Gustavo Bochio, Oscar Mauricio Hernandez Rodriguez, Danilo Colombo, Francisco Louzada, Vera Tomazella
Publikováno v: Repositório Institucional da USP (Biblioteca Digital da Produção Intelectual)
Universidade de São Paulo (USP)
instacron:USP
IEEE Access, Vol 8, Pp 219757-219774 (2020)
In this paper, our proposal consists of incorporating frailty into a statistical methodology for modeling time-to-event data, based on non-proportional hazards regression model. Specifically, we use the generalized time-dependent logistic (GTDL) mode
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::522d61d3487c03c371993d2187b05a62
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