We give a general discussion of linear mixed models and continue with illustrating specific actuarial applications of this type of models. Technical details on linear mixed models follow: model assumptions, specifications, estimation techniques and methods of inference. We include three worked...

We start with a discussion of model families for multilevel data outside the Gaussian framework. We continue with Generalized Linear Mixed Models ([GLMMs]), which enable generalized linear modeling with multilevel data. The Chapter includes highlights of estimation techniques for GLMMs, in the...

The authors test six theoretically-derived hypotheses about ad characteristics that influence digital sharing. Two completely independent field studies test these hypotheses using over 11 measures of emotions and over 60 ad characteristics. The results are consistent with our theory and robust...