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Name of course :
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Advanced Analysis Of Variance and Variance Components
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Description :
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Expected mean squares, exact and approximate tests of hypotheses for balanced and unbalanced data sets. Fixed, mixed and random models. Randomization theory. Estimation of variance components using regression, MINQUE and general quadratic unbiased estimation theory.
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Prerequisites :
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ST 512, ST 552
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Corequisites :
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Comments :
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Average user rating :
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Average GPA of classes in course :
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Std. dev. of classes in course :
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Percentile within all courses :
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%
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Percentile within department courses :
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%
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