|MATH 423 - Regression and Analysis of Variance.|
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.
3.000 Credit hours
Schedule Types: Lecture, Final Exam, Midterm Exam, Tutorial
Faculty of Science
Mathematics and Statistics Department
May not be enrolled in one of the following Levels:
Masters & Grad Dips & Certs
May not be enrolled in one of the following Faculties:
Faculty of Dentistry
Faculty of Medicine
School of Continuing Studies
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