Description
Review of discrete Markov chains and Poisson processes; continuous time Markov chains; pure jump Markov processes, and birth and death processes including the Q-matrix approach; the Kolmogorov equations; renewal theory; introduction to Brownian motion; queueing theory.
Prerequisites
- Prerequisite(s): STAT 3506 or permission of the School.
Conditions and arrangements
- Prerequisite(s): STAT 3506 or permission of the School.
- Also offered at the graduate level, with different requirements, as STAT 5701 , for which additional credit is precluded.
- Lectures three hours a week.
Reference text in its original language
Review of discrete Markov chains and Poisson processes; continuous time Markov chains; pure jump Markov processes, and birth and death processes including the Q-matrix approach; the Kolmogorov equations; renewal theory; introduction to Brownian motion; queueing theory.
- Prerequisite(s): STAT 3506 or permission of the School.
- Also offered at the graduate level, with different requirements, as STAT 5701 , 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/