|Regression and Analysis of Variance. - 458 - MATH 423 - 001|
Least-squares estimators and their properties. Analysis of variance. Linear models with general covariance. Multivariate normal and chi-squared distributions; quadratic forms. General linear hypothesis: F-test and t-test. Prediction and confidence intervals. Transformations and residual plot. Balanced designs.
Prerequisites: MATH 324, and MATH 223 or MATH 236
Restriction: Not open to students who have taken or are taking MATH 533.
Associated Term: Fall 2017
Registration Dates: Apr 04, 2017 to Sep 19, 2017
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