Regression modeling of censored data based on compound scale mixtures of normal distributions-Reference-Cited by-同舟云学术

Regression modeling of censored data based on compound scale mixtures of normal distributions

Published:2023-06-01 Issue:2 Volume:37 Page:
ISSN:0103-0752
Container-title:Brazilian Journal of Probability and Statistics
language:
Short-container-title:Braz. J. Probab. Stat.

Author:

Benites Luis¹,Zeller Camila B.²,Bolfarine Heleno³,Lachos Víctor H.⁴

Affiliation:

1. Departamento de Ciencias, Pontificia Universidad Católica del Perú, Lima, Perú

2. Departamento de Estatística, Universidade Federal de Juiz de Fora, Brazil

3. Departamento de Estatística, Universidade de São Paulo,Butanta, São Paulo, Brazil

4. Department of Statistics, University of Connecticut, Storrs, Connecticut, U.S.A

Publisher

Institute of Mathematical Statistics

Subject

Statistics and Probability

Reference28 articles.

1. Dempster, A., Laird, N. and Rubin, D. (1977). Maximum likelihood from incomplete data via the EM algorithm. Journal of the Royal Statistical Society, Series B 39, 1–38.

2. Arellano-Valle, R., Castro, L., González-Farías, G. and Muñoz-Gajardo, K. (2012). Student-t censored regression model: Properties and inference. Statistical Methods & Applications 21, 453–473.

3. Ateya, S. F. (2014). Maximum likelihood estimation under a finite mixture of generalized exponential distributions based on censored data. Statistical Papers 55, 311–325.

4. Bartolucci, F. and Scaccia, L. (2005). The use of mixtures for dealing with non-normal regression errors. Computational Statistics & Data Analysis 48, 821–834.

5. Basford, K., Greenway, D., McLachlan, G. and Peel, D. (1997). Standard errors of fitted component means of normal mixtures. Computational Statistics 12, 1–18.

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