Inferences in linear mixed models with skew-normal random effects

DOI10.1007/s10114-015-3326-5zbMath1314.62072OpenAlexW1992582974MaRDI QIDQ2343445

Tonghui Wang, Ren-Dao Ye

Publication date: 5 May 2015

Published in: Acta Mathematica Sinica. English Series (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10114-015-3326-5

zbMATH Keywords

moment generating functionlinear mixed modelCochran's theoremnoncentral skew chi-square distributionnoncentral skew F distribution

Mathematics Subject Classification ID

Linear regression; mixed models (62J05) Parametric hypothesis testing (62F03)

Related Items (10)

Inferences on location parameter in multivariate skew-normal family with unknown scale parameter ⋮ Remarks for the singular multivariate skew-normal distribution and its quadratic forms ⋮ Necessary sample sizes for specified closeness and confidence of matched data under the skew normal setting ⋮ Investigation of covariance structures in modelling longitudinal ordinal responses with skew normal random effect ⋮ A parametric bootstrap approach for one-way classification model with skew-normal random effects ⋮ Bootstrap inference for skew-normal unbalanced heteroscedastic one-way classification random effects model ⋮ Sampling distributions of skew normal populations associated with closed skew normal distributions ⋮ Robust inference in linear mixed model with skew normal-symmetric error ⋮ Bootstrap inference of the skew-normal two-way classification random effects model with interaction ⋮ The Decomposition of Quadratic Forms Under Matrix Variate Skew-Normal Distribution

Uses Software

• sn

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