ABSTRACT
The usual method to estimate the parameters of the multilevel regression model is maximum likelihood estimation. This produces parameter estimates and asymptotic standard errors, which can be used to test the significance of specific parameters, or to set a confidence interval around a specific parameter. Chapter 3 mentions alternatives to this standard approach to estimation and testing. This chapter discusses several alternatives in more detail: the profile likelihood method, robust standard errors, bootstrapping, and Bayesian methods.
