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1
Objective bayesian analysis for the Lomax distribution
Objective bayesian analysis for the Lomax distribution
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Artículo 		En Mi Portal

Objective bayesian analysis for the Lomax distribution

Paulo Henrique Ferreira Eduardo Ramos; Pedro Luiz Ramos; Jhon F. B Gonzales; Vera Lucia Damasceno Tomazella; Ricardo Sandes Ehlers; Eveliny Barroso da Silva; Francisco Louzada

Statistics and Probability Letters Amsterdam : Elsevier v. 159, p. 1-9, 2020

Amsterdam 2020

Disponible en ICMC - Inst. Ciên. Mat. Computação    (PROD-2981716 )(Obténgalo)

2
Bayesian analysis of the generalized gamma distribution using non-informative priors
Bayesian analysis of the generalized gamma distribution using non-informative priors
Material Type:
Artículo 		Añadir a Mi Portal

Bayesian analysis of the generalized gamma distribution using non-informative priors

Pedro L. Ramos (Pedro Luiz Ramos) Jorge Alberto Achcar; Fernando A Moala (Fernando Antonio Moala); Eduardo Ramos; Francisco Louzada

Statistics Philadelphia : Taylor and Francis v. 51, n. 4, p. 824-843, Mai. 2017

Philadelphia 2017

Disponible en FMRP - Fac. Medicina de Ribeirão Preto    (pcd 2863667 Estantes Deslizantes ) y otras localizaciones(Obténgalo)

3
Objective bayesian analysis for multiple repairable systems
Objective bayesian analysis for multiple repairable systems
Material Type:
Artículo 		Añadir a Mi Portal

Objective bayesian analysis for multiple repairable systems

Amanda Morales Eudes D'Andrea Vera Lucia Damasceno Tomazella; Hassan Aljohani; Pedro Luiz Ramos; Marco Pollo Almeida; Francisco Louzada; Bruna Aparecida Wruck Verssani; Amanda Buosi Gazon; Ahmed Z Afify

Plos One San Francisco : Public Library of Science v. 16, n. 11, p. 1-19, 2022

San Francisco 2022

Disponible en ICMC - Inst. Ciên. Mat. Computação    (PROD-3053960 )(Obténgalo)

4
Reference Bayesian analysis for the generalized lognormal distribution with application to survival data
Reference Bayesian analysis for the generalized lognormal distribution with application to survival data
Material Type:
Artículo 		Añadir a Mi Portal

Reference Bayesian analysis for the generalized lognormal distribution with application to survival data

Vera Lucia Damasceno Tomazella Sandra R. de Jesus; Francisco Louzada; Saralees Nadarajah; Pedro Luiz Ramos

Statistics and Its Interface Somerville : International Press v. 13, n. 1, p. 139-149, 2020

Somerville 2020

Disponible en ICMC - Inst. Ciên. Mat. Computação    (PROD-2993773 )(Obténgalo)

5
Bayesian analysis of the inverse generalized gamma distribution using objective priors
Bayesian analysis of the inverse generalized gamma distribution using objective priors
Material Type:
Artículo 		Añadir a Mi Portal

Bayesian analysis of the inverse generalized gamma distribution using objective priors

Pedro Luiz Ramos Alex Leal Mota; Paulo Henrique Ferreira; Eduardo Ramos; Vera Lucia Damasceno Tomazella; Francisco Louzada

Journal of Statistical Computation and Simulation Abingdon : Taylor & Francis v. 91, n. 4, p. 786-816, 2021

Abingdon 2021

Disponible en ICMC - Inst. Ciên. Mat. Computação    (PROD-3010667 )(Obténgalo)

6
Bayesian reference analysis for the generalized gamma distribution
Bayesian reference analysis for the generalized gamma distribution
Material Type:
Artículo 		Añadir a Mi Portal

Bayesian reference analysis for the generalized gamma distribution

Pedro Luiz Ramos Francisco Louzada

IEEE Communications Letters Piscataway, NJ : IEEE v. 22, n. 9, p. 1950-1953, Sep. 2018

Piscataway, NJ 2018

Disponible en ICMC - Inst. Ciên. Mat. Computação    (PROD 2891173 )(Obténgalo)

7
Bayesian reference analysis for the generalized normal linear regression model
Bayesian reference analysis for the generalized normal linear regression model
Material Type:
Artículo 		Añadir a Mi Portal

Bayesian reference analysis for the generalized normal linear regression model

Vera Lucia Damasceno Tomazella Sandra Rêgo Jesus; Amanda Buosi Gazon; Francisco Louzada; Saralees Nadarajah; Diego Carvalho Nascimento; Francisco Aparecido Rodrigues; Pedro Luiz Ramos

Symmetry Basel v. 13, n. 5, p. 1-20, 2021

Basel 2021

Disponible en ICMC - Inst. Ciên. Mat. Computação    (PROD-3029543 )(Obténgalo)

8
Efficient closed-form maximum a posteriori estimators for the gamma distribution
Efficient closed-form maximum a posteriori estimators for the gamma distribution
Material Type:
Artículo 		Añadir a Mi Portal

Efficient closed-form maximum a posteriori estimators for the gamma distribution

Francisco Louzada Pedro Luiz Ramos

Journal of Statistical Computation and Simulation London : Taylor and Francis v. 88, n. 6, p. 1134-1146, Jan. 2018

London 2018

Disponible en ICMC - Inst. Ciên. Mat. Computação    (PROD 2889936 )(Obténgalo)

9
Improved Bayes estimators and prediction for the Wilson-Hilferty distribution
Improved Bayes estimators and prediction for the Wilson-Hilferty distribution
Material Type:
Artículo 		Añadir a Mi Portal

Improved Bayes estimators and prediction for the Wilson-Hilferty distribution

Pedro Luiz Ramos Marco Pollo Almeida; Vera Lucia Damasceno Tomazella; Francisco Louzada

Anais da Academia Brasileira de Ciências Rio de Janeiro : Academia Brasileira de Ciências v. 91, n. 3, p. e20190002-1-e20190002-23, 2019

Rio de Janeiro 2019

Disponible en ICMC - Inst. Ciên. Mat. Computação    (PROD-2961103 )(Obténgalo)

10
Posterior properties of the Nakagami-m distribution using noninformative priors and applications in reliability
Posterior properties of the Nakagami-m distribution using noninformative priors and applications in reliability
Material Type:
Artículo 		Añadir a Mi Portal

Posterior properties of the Nakagami-m distribution using noninformative priors and applications in reliability

Pedro Luiz Ramos Francisco Louzada; Eduardo Ramos

IEEE Transactions on Reliability Piscataway, NJ : IEEE v. 67, n. 1, p. 105-117, Mar. 2018

Piscataway, NJ 2018

Disponible en ICMC - Inst. Ciên. Mat. Computação    (PROD 2872775 )(Obténgalo)

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por este autor/creador:

  1. Louzada, F
  2. Ramos, P
  3. Tomazella, V
  4. Ramos, E
  5. Almeida, M

con este tema:

  1. Inferência Bayesiana
  2. Análise De Sobrevivência
  3. Distribuições (Probabilidade)
  4. Verossimilhança
  5. Dados Censurados

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