Partially linear models with p-order autoregressive skew-normal errors-Reference-Cited by-同舟云学术

Partially linear models with p-order autoregressive skew-normal errors

Published:2022-12-01 Issue:4 Volume:36 Page:
ISSN:0103-0752
Container-title:Brazilian Journal of Probability and Statistics
language:
Short-container-title:Braz. J. Probab. Stat.

Author:

da Silva Ferreira Clécio¹,Montoril Michel H.²,Paula Gilberto A.³

Affiliation:

1. Department of Statistics, Federal University of Juiz de Fora, Juiz de Fora, MG, Brazil

2. Department of Statistics, Federal University of São Carlos, São Carlos, SP, Brazil

3. Institute of Mathematics and Statistics, University of São Paulo, São Paulo, SP, Brazil

Publisher

Institute of Mathematical Statistics

Subject

Statistics and Probability

Reference37 articles.

1. Arellano-Valle, R. B., Ozan, S., Bolfarine, H. and Lachos, V. H. (2005). Skew-normal measurement error models. Journal of Multivariate Analysis 96, 265–281.

2. Bayes, C. L. and Branco, M. D. (2007). Bayesian inference for the skewness parameter of the scalar skew-normal distribution. Brazilian Journal of Probability and Statistics 21, 141–163.

3. Bazán, J. L., Bolfarine, H. and Branco, M. D. (2006). A skew item response model. Bayesian Analysis 1, 861–892.

4. Bazrafkan, M., Zare, K., Maleki, M. and Khodadi, Z. (2021). Partially linear models based on heavy-tailed and asymmetrical distributions. Stochastic Environmental Research and Risk Assessment 36, 1436–3259.

5. Ferreira, C. S., Montoril, M. H. and Paula, G. A. (2022). Supplement to “Partially linear models with p-order autoregressive skew-normal errors.”

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