Improved Small Sample Inference in the Mixed Linear Model: Bartlett Correction and Adjusted Likelihood
混合线性模型的小样本推断改进:Bartlett 校正与调整似然
Summary The mixed linear model is a popular method for analysing unbalanced repeated measurement data. The classical statistical tests for parameters in this model are based on asymptotic theory that is unreliable in the small samples that are often encountered in practice. For testing a given fixed effect parameter with a small sample, we develop and investigate refined likelihood ratio (LR) tests. The refinements considered are the Bartlett correction and use of the…