This course will discuss the concept of random effects, why they are called random effects and how they are incorporated in the framework of mixed models. The primary focus of the course will be to ...

Maren K. Olsen, Joseph L. Schafer, A Two-Part Random-Effects Model for Semicontinuous Longitudinal Data, Journal of the American Statistical Association, Vol. 96, No ...

In many experimental situations, a response surface design is divided into several blocks to control an extraneous source of variation. The traditional approach in most response surface applications ...

Define and . The fixed effects estimator of is still unbiased under the random effects assumptions, so you need to calculate only the estimate of . In the balanced data case, the estimation method for ...

Fixed and Random Effects Central to the idea of variance components models is the idea of fixed and random effects. Each effect in a variance components model must be classified as either a fixed or a ...

When modelers encounter difficulties with random effects, it is usually for one of two reasons. Either they ignore the random effects completely or they model them as fixed parameters.

If, however, random effects are included in the model, dramatic changes ensue, even though the contact rate in the subpopulations is the same as in the full one.

Our paper discusses how random coefficient models (RCMs) may generate new insights about firm heterogeneity and its effects on performance in empirical settings in strategy. RCMs allow testing for and ...