|
Apr 19, 2024
|
|
|
|
Catalog 2019-2020 [ARCHIVED CATALOG]
|
STAT 410 - Generalized Linear Models Studies the use of explanatory, confirmatory, and predictive linear models in data-driven decision making. Includes simple linear regression, multiple linear regression, variable selection methods, model comparison methods, generalized linear model, logistic regression, Poisson regression, principal component analysis, times series models, and residual analysis using statistical computing packages.
Prerequisite(s)/Corequisite(s): (Prereq: STAT 250 or MATH 320 or STAT 310 or STAT 320 or STAT 325 or STAT 330 or STAT 335 or STAT 395 with a C- or better) Typically Offered: Spring term only
Units: 4
|
|