Statistics (STAT) Courses>Robust Statistics

STAT466 - Robust Statistics

Description

Influence function and breakdown point; efficiency and robustness; robust location and scale estimation; robust regression; robust covariance matrix estimation; robust k-means clustering; robust principal component analysis; outlier detection.

Units

1.5

Hours: lecture-lab-tutorial

3-0-0

Note(s)

  • May be offered as a joint undergraduate and graduate class.

Prerequisites

  • Complete all of:
    • STAT350 - Mathematical Statistics I (1.5)
    • STAT353 - Applied Regression Analysis (1.5)
  • or permission of the department.

Course offered by

Department of Mathematics and Statistics

Course schedules

Summer timetable available: February 15. Fall and Spring timetables available: May 15.

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