A Penalized Likelihood Estimator for Variance Components in Repeated Measurements Model
Keywords:
Maximum Likelihood Estimator, Penalized Likelihood Estimator, Repeated Measurements Model, Variance Components EstimationAbstract
In this paper, we consider the repeated measurement model. We estimated the parameters of the model by using the maximum likelihood method and compared these estimators with the penalized likelihood estimators by using mean square error. We also determine the corresponding moments of each estimators. Finally, we find bias equations and variances for each estimator
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Published
2021-08-31
Issue
Section
Mathematics
License
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.