ABSTRACT
This chapter describes five examples in which my colleagues and I got mysterious, inconvenient, or plainly wrong results using mixed linear models to analyze real datasets. All these examples involve the data’s information about φ , the unknowns in the mixed linear model’s R or G, and thus lead to examination of the restricted likelihood and its close relative, the marginal posterior of φ .
