MATH 436 - Advanced Applied Statistics (4)

Linear models, including mixed models, applied to experimental and field data from current research projects. Poisson and logistic regression. Model fitting and checking; use of permutation tests as needed. Presentation of results suitable for publication (3 hours lecture, 3 hours laboratory) (BIOL 436 and MATH 436 are the same course.)

Prerequisites: MATH 338 with a “C” (2.0) or better; or graduate standing.