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A Journal of Theoretical and Applied Statistics
Volume 49, 2015 - Issue 5
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Original Articles

Influence diagnostics for Student-t censored linear regression models

Monique B. MassuiaDepartamento de Estatística, Universidade Estadual de Campinas, Campinas, BrazilView further author information
,
Celso Rômulo Barbosa CabralDepartamento de Estatística, Universidade Federal do Amazonas, Manaus, BrazilView further author information
,
Larissa A. MatosDepartamento de Estatística, Universidade Estadual de Campinas, Campinas, BrazilView further author information
&
Víctor H. LachosDepartamento de Estatística, Universidade Estadual de Campinas, Campinas, BrazilCorrespondence[email protected]
View further author information
Pages 1074-1094 | Received 15 Sep 2012, Accepted 07 Jul 2014, Published online: 10 Oct 2014

Citations (25)

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Daniel C. F. Guzmán, Clécio S. Ferreira & Camila B. Zeller. (2021) Linear censored regression models with skew scale mixtures of normal distributions. Journal of Applied Statistics 48:16, pages 3060-3085.
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Selma Toker, Nimet Özbay, Gülesen Üstündağ Şiray & İsmail Yenilmez. (2021) Tobit Liu estimation of censored regression model: an application to Mroz data and a Monte Carlo simulation study. Journal of Statistical Computation and Simulation 91:6, pages 1061-1091.
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Thalita do Bem Mattos, Aldo M. Garay & Victor H. Lachos. (2018) Likelihood-based inference for censored linear regression models with scale mixtures of skew-normal distributions. Journal of Applied Statistics 45:11, pages 2039-2066.
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Mário F. Desousa, Helton Saulo, Víctor Leiva & Paulo Scalco. (2018) On a tobit–Birnbaum–Saunders model with an application to medical data. Journal of Applied Statistics 45:5, pages 932-955.
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Clécio S. Ferreira & Gilberto A. Paula. (2017) Estimation and diagnostic for skew-normal partially linear models. Journal of Applied Statistics 44:16, pages 3033-3053.
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Aldo M. Garay, Heleno Bolfarine, Victor H. Lachos & Celso R.B. Cabral. (2015) Bayesian analysis of censored linear regression models with scale mixtures of normal distributions. Journal of Applied Statistics 42:12, pages 2694-2714.
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Articles from other publishers (19)

Alejandro Monzón Montoya. (2023) Local Influence in Regression Models with Measurement Errors and Censored Data Considering the Student–t Distribution. Sankhya B 86:1, pages 91-108.
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Fernanda L. Schumacher, Larissa A. Matos, Víctor H. Lachos, Carlos A. Abanto-Valle & Luis M. Castro. (2024) A Censored Time Series Analysis for Responses on the Unit Interval: An Application to Acid Rain Modeling. Sankhya A 86:1, pages 637-660.
Crossref
Marcos S Oliveira, Daniela CR Oliveira & Victor H Lachos. (2023) Influence diagnostics for skew- t censored linear regression models . Communications for Statistical Applications and Methods 30:6, pages 605-629.
Crossref
Katherine A.L. Valeriano, Christian E. Galarza, Larissa A. Matos & Victor H. Lachos. (2023) Likelihood-based inference for the multivariate skew- regression with censored or missing responses . Journal of Multivariate Analysis 196, pages 105174.
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Luis Benites, Camila B. Zeller, Heleno Bolfarine & Víctor H. Lachos. (2023) Regression modeling of censored data based on compound scale mixtures of normal distributions. Brazilian Journal of Probability and Statistics 37:2.
Crossref
Zeinolabedin Najafi, Karim Zare, Mohammad Reza Mahmoudi, Soheil Shokri & Amir Mosavi. (2022) Inference and Local Influence Assessment in a Multifactor Skew-Normal Linear Mixed Model. Mathematics 10:15, pages 2820.
Crossref
Christian E. Galarza, Larissa A. Matos & Victor H. Lachos. (2022) An EM algorithm for estimating the parameters of the multivariate skew-normal distribution with censored responses. METRON 80:2, pages 231-253.
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Victor H. Lachos, Jorge L. Bazán, Luis M. Castro & Jiwon Park. (2022) The skew- t censored regression model: parameter estimation via an EM-type algorithm . Communications for Statistical Applications and Methods 29:3, pages 333-351.
Crossref
Chi Zhang, Guo-Liang Tian, Yibo Zhai & Yu Fei. (2022) Valid properties of truncated Student-t regression model with applications in analysis of censored data. Brazilian Journal of Probability and Statistics 36:1.
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Javeria Khaleeq, Muhammad Amanullah & Zahra Almaspoor. (2021) Influence Diagnostics in Log-Normal Regression Model with Censored Data. Mathematical Problems in Engineering 2021, pages 1-15.
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Christian E. Galarza Morales, Victor H. Lachos & Marcelo Bourguignon. (2021) A skew‐ t quantile regression for censored and missing data . Stat 10:1.
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Victor H. Lachos, Marcos O. Prates & Dipak K. Dey. (2021) Heckman selection-t model: Parameter estimation via the EM-algorithm. Journal of Multivariate Analysis 184, pages 104737.
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Helton Saulo, Jeremias Leão, Juvêncio Nobre & Narayanaswamy Balakrishnan. (2021) A class of asymmetric regression models for left-censored data. Brazilian Journal of Probability and Statistics 35:1.
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Larissa A. Matos, Víctor H. Lachos, Tsung-I Lin & Luis M. Castro. (2018) Heavy-tailed longitudinal regression models for censored data: a robust parametric approach. TEST 28:3, pages 844-878.
Crossref
Camila Borelli Zeller, Celso Rômulo Barbosa Cabral, Víctor Hugo Lachos & Luis Benites. (2018) Finite mixture of regression models for censored data based on scale mixtures of normal distributions. Advances in Data Analysis and Classification 13:1, pages 89-116.
Crossref
Víctor H. Lachos, Celso R. B. Cabral, Marcos O. Prates & Dipak K. Dey. (2018) Flexible regression modeling for censored data based on mixtures of student-t distributions. Computational Statistics 34:1, pages 123-152.
Crossref
Clécio da Silva Ferreira, Filidor Vilca & Heleno Bolfarine. (2018) Diagnostics analysis for skew-normal linear regression models: Applications to a quality of life dataset. Brazilian Journal of Probability and Statistics 32:3.
Crossref
Víctor H. Lachos, Edgar J. López Moreno, Kun Chen & Celso Rômulo Barbosa Cabral. (2017) Finite mixture modeling of censored data using the multivariate Student- distribution . Journal of Multivariate Analysis 159, pages 151-167.
Crossref
Aldo M. Garay, Victor H. Lachos, Heleno Bolfarine & Celso R. B. Cabral. (2015) Linear censored regression models with scale mixtures of normal distributions. Statistical Papers 58:1, pages 247-278.
Crossref

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