We describe a new method for assessment of model inadequacy in maximum-likelihood mixed-model analysis of variance. In particular, we discuss its use in diagnosing perturbations from the usual assumption of constant error variance and from the assumption that each realization of a given random factor has been drawn from the same normal population. Computer implementation of the procedure is described, and an example is presented, involving the analysis of filter cartridges used with commercial respirators.
Bibliographical noteFunding Information:
This work was supported in part by National Science Foundation Grant DMS-860 1314 and by Nuclear Regulatory Commission Grant RES 60-83-176. We would like to thank Mark Johnson and Luis Escobar for their comments on an earlier draft of this article. We also thank A. Juan.
- Likelihood displacement
- Local influence
- Random effects