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- W4318948332 abstract "Linear mixed models are widely used in a variety of scientific areas such as small area estimation (Rao and Molina 2015), longitudinal data analysis (Verbeke and Molenberghs 2006), and meta-analysis (Boreinstein et al. 2009), and estimation of variance components plays an essential role in fitting the models. In this chapter, we provide the general mixed-effects models, some examples, and the derivation of the best linear unbiased predictors. For estimating unknown parameters like variance components, we suggest the general estimating equations which include the restricted maximum likelihood estimators and derive their asymptotic properties." @default.
- W4318948332 created "2023-02-03" @default.
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- W4318948332 date "2023-01-01" @default.
- W4318948332 modified "2023-10-18" @default.
- W4318948332 title "General Mixed-Effects Models and BLUP" @default.
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- W4318948332 doi "https://doi.org/10.1007/978-981-19-9486-9_2" @default.
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