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ST 705 Linear Models and Variance Components
厂罢听705听听Linear Models and Variance Components听听(3 credit hours)听听
Theory of estimation and testing in full and non-full rank linear models. Normal theory distributional properties. Least squares principle and the Gauss-Markoff theorem. Estimability and properties of best linear unbiased estimators. General linear hypothesis. Application of dummy variable methods to elementary classification models for balanced and unbalanced data. Analysis of covariance. Variance components estimation for balanced data.
Corequisite: 厂罢听702
Typically offered in Spring only
Statistics
/graduate/sciences/statistics/
...core courses ( ST 701 , ST 702 , ST 703 , ST 704 and ST 705 ), even if...