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Journal of Statistical Computation and Simulation Volume 91, 2021 - Issue 2
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Articles

Multivariate t semiparametric mixed-effects model for longitudinal data with multiple characteristics

M. Taavonia Department of Statistic, Faculty of Mathematical Sciences, Shahrood University of Technology, Shahrood, IranView further author information
,
M. Arashia Department of Statistic, Faculty of Mathematical Sciences, Shahrood University of Technology, Shahrood, IranCorrespondence[email protected]
ORCID Iconhttps://orcid.org/0000-0002-5881-9241View further author information
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Wan-Lun Wangb Department of Statistics, Graduate Institute of Statistics and Actuarial Science, Feng Chia University, Taichung, TaiwanView further author information
&
Tsung-I Linc Institute of Statistics, National Chung Hsing University, Taichung, Taiwan;d Department of Public Health, China Medical University, Taichung, TaiwanORCID Iconhttps://orcid.org/0000-0002-3992-1128View further author information
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Pages 260-281 | Received 03 Jan 2020, Accepted 17 Aug 2020, Published online: 01 Sep 2020

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Timothy Opheim & Anuradha Roy. (2022) Doubly multivariate linear models with block exchangeable distributed errors and site-dependent covariates. Journal of Applied Statistics 49:14, pages 3659-3676.
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Articles from other publishers (3)

Corinne Emmenegger & Peter Bühlmann. (2023) Plug‐in machine learning for partially linear mixed‐effects models with repeated measurements. Scandinavian Journal of Statistics 50:4, pages 1553-1567.
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Seyede Elahe Hosseini, Davood Shahsavani, Mohammad Reza Rabiei, Mohammad Arashi & Hossein Baghishani. (2022) Small Area Estimation Using a Semiparametric Spatial Model with Application in Insurance. Symmetry 14:10, pages 2194.
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Thalita B. Mattos, Victor H. Lachos, Luis M. Castro & Larissa A. Matos. (2022) Extending multivariate Student's‐t$$ t $$ semiparametric mixed models for longitudinal data with censored responses and heavy tails. Statistics in Medicine 41:19, pages 3696-3719.
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