Description
Selected topics in regression and correlation non-linear models. Multivariate statistical methods, principal components, factor analysis, multivariate analysis of variance, discriminant analysis, canonical correlation, analysis of categorical data.
Prerequisites
- Prerequisite(s): STAT 3553 or ( STAT 3509 and STAT 3503 ) or permission of the School.
Conditions and arrangements
- Prerequisite(s): STAT 3553 or ( STAT 3509 and STAT 3503 ) or permission of the School.
- Also offered at the graduate level, with different requirements, as STAT 5509 , for which additional credit is precluded.
- Lectures three hours a week.
Reference text in its original language
Selected topics in regression and correlation non-linear models. Multivariate statistical methods, principal components, factor analysis, multivariate analysis of variance, discriminant analysis, canonical correlation, analysis of categorical data.
- Prerequisite(s): STAT 3553 or ( STAT 3509 and STAT 3503 ) or permission of the School.
- Also offered at the graduate level, with different requirements, as STAT 5509 , for which additional credit is precluded.
- Lectures three hours a week.
Sources and references
Dates and sources are retained to help you verify the information. Translations are provided to facilitate reading; the official source governs conditions and requirements.
Source reference : https://calendar.carleton.ca/undergrad/courses/STAT/