3975 (v.4) Applied Statistics 302
| Area: | Department of Mathematics and Statistics |
| Contact Hours: | 4.0 |
| Credits: | 25.0 |
| Lecture: | 3 x 1 Hours Weekly |
| Practical: | 1 x 1 Hours Weekly |
| Prerequisite(s): | 8128 (v.6) Linear Algebra 202 or any previous version
AND
8393 (v.8) Statistical Methods 201 or any previous version
AND
302315 (v.2) Mathematical Statistics 202 or any previous version
|
| The analysis and interpretation of research data arising from more complex designs. Review of matrix algebra-random vectors, mean vectors and covariance matrices. Multivariate normal distribution. Generalised linear models. Maximum likelihood estimation and inferences for GLMs. Introduction to multivariate statistical methods using R and SAS. Methods for categorical data. |
| Year | Location | Period | Internal | Area External | Central External | | 2003 | Bentley Campus | Semester 2 | Y | | | |
Current as of: August 29, 2003 15:52:10
CRICOS provider code 00301J
