Statistical Methods II

STAT 510 XW


Course Description

Model selection and collinearity in linear regression. Likelihood analysis for general models and models with non-normal random components; linear model results in the context of likelihood; linear mixed models and their application; estimation, inference, and prediction. Computational issues in iterative algorithms; expectation-,maximization algorithm and its use in mixed models. Case studies of applications including problem formulation, exploratory analysis, model development, estimation and inference, and model assessment.

3 credits

Questions

Instructor Contact

Daniel Nettleton

Registration Information

Course Dept
STAT
Course Number
510
Section
XW
Credit Hours
3
Semester
Spring 2016
Dates
Jan 11 - May 6
Prerequisites
STAT 500, STAT 447 or credit/enrollment in STAT 543
Max Enrollment
50
Delivery Fee
$150.00 *
* Delivery Fee is additional to Tuition & Fees.

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