|
BIST-513 Statistical Modeling II
Spring only
3 modules: multivariate analysis, survival models, Markov models.
Lab teaches Splus/R procedures to fit these models.
Multivariate Analysis: multivariate normal distribution, multivariate analysis of variance, principal components, canonical correlation, factor analysis, discrimination and classification.
Survival Models : concepts and methods for analyzing survival time data, life tables, survival distributions, mathematical and graphical methods for evaluating goodness of fit, comparison of treatment groups, regression models, proportional hazards models.
Markov Models: probabilistic properties of Markov chains, equilibrium distributions, Hidden Markov models, parameter estimation, applications in biology.
Credits: 3
Prerequisites: None
Sections:
BIST-513-01 Statistical Modeling II
Spring only
3 modules: multivariate analysis, survival models, Markov models.
Lab teaches Splus/R procedures to fit these models.
Multivariate Analysis: multivariate normal distribution, multivariate analysis of variance, principal components, canonical correlation, factor analysis, discrimination and classification.
Survival Models : concepts and methods for analyzing survival time data, life tables, survival distributions, mathematical and graphical methods for evaluating goodness of fit, comparison of treatment groups, regression models, proportional hazards models.
Markov Models: probabilistic properties of Markov chains, equilibrium distributions, Hidden Markov models, parameter estimation, applications in biology.
Credits: 3
Prerequisites: BIST-511
|
 |
Other academic years
There is information about this course number in other academic years:
More information
Look for this course in the schedule of classes.
The academic department web site for this program may provide other details about this course.
|
