Examines model structure; least squares estimation; Gauss-Markov theorem; central limit theorems for linear regression; weighted and generalized least squares; fixed and random effects; analysis of variance; blocking and stratification; and applications in experimental design.
Prefix
BIOST
Number
533
Credits
3
Variable Credit?
No
Credit/no-credit only?
No
Joint Class?
Yes
Offered
Spring
Past Syllabi
2019_SPR_BIOST_533_WillisA.pdf89.46 KB