Description
Analysis of variance, multiple regression (including polynomial regression), logistic and Poisson regression, probit models, time series (including decomposition into components, exponential smoothing, model diagnostics and ARIMA models), Monte Carlo simulation.
Prerequisites
- Prerequisite(s): STAT 2601 .
Conditions and arrangements
- Precludes additional credit for Precludes additional credit for DATA 1519 , STAT 2607 (no longer offered).
- Prerequisite(s): STAT 2601 .
- Lectures three hours a week and laboratory one hour a week.
Reference text in its original language
Analysis of variance, multiple regression (including polynomial regression), logistic and Poisson regression, probit models, time series (including decomposition into components, exponential smoothing, model diagnostics and ARIMA models), Monte Carlo simulation.
- Prerequisite(s): STAT 2601 .
- Precludes additional credit for Precludes additional credit for DATA 1519 , STAT 2607 (no longer offered).
- Lectures three hours a week and laboratory one hour 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/