Rank-based Estimation for Arnold Transformed Data
نویسندگان
چکیده
Rank-Based methods for iid linear models have been developed over the past 30 years. However, little work has been done in the area of mixed models. In this paper, we discuss a transformation approach to modeling a particular mixed model: one with an arbitrary number of fixed effects and covariates but only one random effect. Discussion of the asymptotic theory is given and the results of a simulation study verify the theory. These models are used to estimate the fixed effects from an experiment which uses a randomized block design.
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