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Advisor(s)
Abstract(s)
A mixed model has segregation when its random effects part is segregated as a sub-model. It will be
shown that under orthogonality condition, nesting a random effects model inside a segregated mixed
model or a segregated mixed model inside a fixed effects model the result will be a segregated mixed
model. Unbiased estimators will be obtained for the variance components in both classes of models
which are UMVUE, once normality is assumed.
Description
Keywords
Normal orthogonal mixed models Segregated mixed model