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MATH 6266 - Linear Statistical Model |
Basic unifying theory underlying techniques of regression, analysis of variance and covariance, from a geometric point of view. Modern computational capabilities are exploited fully. Students apply the theory to real data through canned and coded programs.
3.000 Credit hours 3.000 Lecture hours Grade Basis: ALP All Sections for this Course Sch/Mathematics Department Restrictions: May not be enrolled in one of the following Levels: Undergraduate Semester Must be enrolled in one of the following Campuses: Georgia Tech-Atlanta * Prerequisites: Undergraduate Semester level MATH 3215 Minimum Grade of D or Undergraduate Semester level MATH 3225 Minimum Grade of D |
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