A general skew-\(t\) mixed model that allows different degrees of freedom for random effects and error distributions

DOI10.1016/j.jspi.2013.11.015zbMath1278.62077OpenAlexW2013423430WikidataQ61887026 ScholiaQ61887026MaRDI QIDQ389321

Pankaj K. Choudhary, Dishari Sengupta, Phillip Cassey

Publication date: 20 January 2014

Published in: Journal of Statistical Planning and Inference (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jspi.2013.11.015

zbMATH Keywords

outliersEM algorithmheavy tailed distributionsmethod comparisonsrobust mixed-effects modelsskew-\(t\) distributions

Mathematics Subject Classification ID

Related Items (5)

Simultaneous Bayesian modeling of longitudinal and survival data in breast cancer patients ⋮ An improved measurement error model for analyzing unreplicated method comparison data under asymmetric heavy-tailed distributions ⋮ Linear mixed model with Laplace distribution (LLMM) ⋮ A heteroscedastic measurement error model based on skew and heavy-tailed distributions with known error variances ⋮ Modeling and Analysis of Method Comparison Data with Skewness and Heavy Tails

Uses Software

• R
• S-PLUS
• nlme
• Statmod
• MEMSS
• numDeriv

Cites Work

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