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Department of Statistics

STAT 517

517—Advanced Statistical Models. (3) (Prereq: A grade of C or higher in STAT 512 or STAT 516 or equivalent) Theory and applications of advanced statistical models. Includes implementation and assessment of generalized linear, nonlinear and nonparametric regression, mixed effect, repeated measures, multivariate regression, and spatial models.

Course Homepage: Recent Semester

Usually Offered: Fall Semesters, Even Years

Current Textbook: Extending the Linear Model with R, by Julian J. Faraway, Chapman & Hall/CRC Press, 2005.

Topics Covered: Advanced models, including: generalized linear models, nonlinear models, random- and mixed-effects models, repeated measures models, nonparametric regression, spatial models, and data mining.

The above textbook and course outline should correspond to the most recent offering of the course by the Statistics Department. Please check the current course homepage or with the instructor for the course regulations, expectations, and operating procedures.  

Contact Faculty: Lianming Wang

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