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Refinado por: data de publicação: Após 2009 remover Nome da Publicação: Journal of Applied Statistics remover
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1
A class of residuals for outlier identification in zero adjusted regression models
A class of residuals for outlier identification in zero adjusted regression models
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A class of residuals for outlier identification in zero adjusted regression models

Gustavo H. A. Pereira Juliana Scudilio; Manoel Santos-Neto; Denise Aparecida Botter; Monica Carneiro Sandoval

Journal of Applied Statistics Abingdon v. 47, n. 10, p. 1833-1847, 2020

Abingdon 2020

Localização: IME - Inst. Matemática e Estatística    (PROD-3001122 )(Acessar)

2
A new family of quantile regression models applied to nutritional data
A new family of quantile regression models applied to nutritional data
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A new family of quantile regression models applied to nutritional data

Isaac Esteban Cortés Olmos Mário de Castro; Diego Ignacio Gallardo Mateluna

Journal of Applied Statistics Abingdon : Taylor and Francis, 2023 In press

Abingdon 2023

Localização: ICMC - Inst. Ciên. Mat. Computação    (PROD-3132941 )(Acessar)

3
The multinomial logistic regression model for predicting the discharge status after liver transplantation estimation and diagnostics analysis
The multinomial logistic regression model for predicting the discharge status after liver transplantation estimation and diagnostics analysis
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The multinomial logistic regression model for predicting the discharge status after liver transplantation estimation and diagnostics analysis

Elisabeth Mie Hashimoto Edwin Moiséis Marcos Ortega; Gauss Moutinho Cordeiro; Adriano Kamimura Suzuki; Michael W Kattan

Journal of Applied Statistics Abingdon : Taylor & Francis, 2019 v. 47, n. 12, p. 2159–2177, 2020

Abingdon 2020

Localização: ICMC - Inst. Ciên. Mat. Computação    (PROD-2982194 )(Acessar)

4
Augmented-limited regression models with an application to the study of the risk perceived using continuous scales
Augmented-limited regression models with an application to the study of the risk perceived using continuous scales
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Augmented-limited regression models with an application to the study of the risk perceived using continuous scales

Ana R. S Silva Caio Lucidius Naberezny Azevedo; Jorge Luis Bazán Guzmán; Juvêncio Santos Nobre

Journal of Applied Statistics Abingdon : Taylor & Francis v. 48, n. 11, p. 1998-2021, 2021

Abingdon 2021

Localização: ICMC - Inst. Ciên. Mat. Computação    (PROD-3002038 )(Acessar)

5
On diagnostic accuracy measure with cut-points criterion for ordinal disease classification based on concordance and discordance
On diagnostic accuracy measure with cut-points criterion for ordinal disease classification based on concordance and discordance
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On diagnostic accuracy measure with cut-points criterion for ordinal disease classification based on concordance and discordance

Kersey, Jing ; Samawi, Hani ; Yin, Jingjing ; Rochani, Haresh ; Zhang, Xinyan

Journal of applied statistics, 2023, Vol.50 (8), p.1772-1789 [Periódico revisado por pares]

England: Taylor & Francis

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6
Performance of diagnostic tests based on continuous bivariate markers
Performance of diagnostic tests based on continuous bivariate markers
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Performance of diagnostic tests based on continuous bivariate markers

Samawi, Hani ; Chen, Ding-Geng ; Yin, Jingjing ; Alsharman, Marwan

Journal of applied statistics, 2024, Vol.51 (3), p.497-514 [Periódico revisado por pares]

England: Taylor & Francis

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7
A flexible semiparametric regression model for bimodal, asymmetric and censored data
A flexible semiparametric regression model for bimodal, asymmetric and censored data
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A flexible semiparametric regression model for bimodal, asymmetric and censored data

Ramires, Thiago G. ; Ortega, Edwin M. M. ; Hens, Niel ; Cordeiro, Gauss M. ; Paula, Gilberto A.

Journal of applied statistics, 2018-05, Vol.45 (7), p.1303-1324 [Periódico revisado por pares]

Abingdon: Taylor & Francis Ltd

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8
Variable diagnostics in model-based clustering through variation partition
Variable diagnostics in model-based clustering through variation partition
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Variable diagnostics in model-based clustering through variation partition

Zhu, Xuwen

Journal of applied statistics, 2018-12, Vol.45 (16), p.2888-2905 [Periódico revisado por pares]

Abingdon: Taylor & Francis

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9
The multinomial logistic regression model for predicting the discharge status after liver transplantation: estimation and diagnostics analysis
The multinomial logistic regression model for predicting the discharge status after liver transplantation: estimation and diagnostics analysis
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The multinomial logistic regression model for predicting the discharge status after liver transplantation: estimation and diagnostics analysis

Hashimoto, E. M. ; Ortega, E. M. M. ; Cordeiro, G. M. ; Suzuki, A. K. ; Kattan, M. W.

Journal of applied statistics, 2020-09, Vol.47 (12), p.2159-2177 [Periódico revisado por pares]

England: Taylor & Francis

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10
A test for comparing conditional ROC curves with multidimensional covariates
A test for comparing conditional ROC curves with multidimensional covariates
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A test for comparing conditional ROC curves with multidimensional covariates

Fanjul-Hevia, A. ; Pardo-Fernández, J. C. ; Van Keilegom, I. ; González-Manteiga, W.

Journal of applied statistics, 2024, Vol.51 (1), p.87-113 [Periódico revisado por pares]

England: Taylor & Francis

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Deste Autor:

  1. Kattan, M
  2. Nobre, J
  3. Mateluna, D
  4. Scudilio, J
  5. Hashimoto, E

Neste Assunto:

  1. Mathematics
  2. Physical Sciences
  3. Statistics & Probability
  4. Science & Technology
  5. Diagnostic Systems

  • Realização: ABCD-USP USP   Logos de Redes Sociais: Freepik

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