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MATH 423 Regression and Analysis of Variance (3 credits)

Offered by: Mathematics and Statistics (Faculty of Science)


Mathematics & Statistics (Sci) : 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.

Terms: Fall 2014

Instructors: David Stephens (Fall)

  • Fall
  • Prerequisites: MATH 324, and MATH 223 or MATH 236
  • Restriction: Not open to students who have taken or are taking MATH 533.