University of Calgary

STAT 429 - APPLIED REGRESSION ANALYSIS - Fall 2002

Multiple linear regression model including parameter estimation, simultaneous confidence intervals and general linear hypothesis testing using matrix algebra. Applications to forecasting. Residual analysis and outliers. Model selection: best regression, stepwise regression algorithms. Transformation of variables and non-linear regression. Computer analysis of practical real world data.
This course may not be repeated for credit.

Hours

  • H(3-1T)

Prerequisite(s)

  • Mathematics 323

Antirequisite(s)

  • Credit for both Statistics 429 and 431 will not be allowed
Syllabus

Sections

This course will be offered next in Fall 2003.
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