Description
Conditional probability and conditional expectation; Stochastic modeling; discrete time Markov chains including classification of states, stationary and limiting distributions; exponential distribution and the Poisson processes; queueing models; applications to computer systems, operations research and social sciences.
Prerequisites
- Prerequisite(s): STAT 2655 with a grade of C- or higher; or permission of the School.
Conditions and arrangements
- Prerequisite(s): STAT 2655 with a grade of C- or higher; or permission of the School.
- Lectures three hours a week, tutorial one hour a week.
Reference text in its original language
Conditional probability and conditional expectation; Stochastic modeling; discrete time Markov chains including classification of states, stationary and limiting distributions; exponential distribution and the Poisson processes; queueing models; applications to computer systems, operations research and social sciences.
- Prerequisite(s): STAT 2655 with a grade of C- or higher; or permission of the School.
- Lectures three hours a week, tutorial 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/