This paper presents mixed-signal block and IC-level verification methodologies using analog behavioral modeling and combined analog and digital solvers. It then describes analog real number modeling ...

Milliken and Johnson (1984) present an example of an unbalanced mixed model. Three machines, which are considered as a fixed effect, and six employees, which are considered a random effect, are ...

Creating behavioral models is onlyone part of the process of using thosemodels in a mixed-signal verification flow.If the model and implementation do notmatch, the effort is worthless; worse, itcan ...

Just as PROC GLM is the flagship procedure for fixed-effect linear models, the MIXED procedure is the flagship procedure for random- and mixed-effect linear models. PROC MIXED fits a variety of mixed ...

This paper reports the results of an extensive Monte Carlo study of the distribution of the likelihood ratio test statistic using the value of the restricted likelihood for testing random components ...

We propose a simple approach for testing random effects in the linear mixed model using Bayes factors. We scale each random effect to the residual variance and introduce a parameter that controls the ...