Wilks Test Rule of Multivariate Repeated Survey Model in Equilibrium Design and Multiple-Way Classification

By use of maximum likelihood ratio means, we present in this paper a Wilks test rule of each fixed effects in the equilibrium design and multiple-way classification model with repeated survey; then deduce a means to test each fixed effects simultaneously. At last, we deduce the function relation between non-central parameter and original parameter to reflected efficiency of this test rule.