Module Directory

 

Module Description

 
 
Module Name
Module Code
Lecture Hrs
Practical Hrs
Credits
Stochastic Processes
STAT3031Y(5)
3
0
6

Description
General stochastic process models. Stationarity property. Branching processes. Random walks, The classical ruin problem. Difference equations. Counting process, Poisson process, Distribution of inter-arrival times and arrival times, Compound Poisson process, Mixed Poisson process. Discrete time Markov Chains (DTMC), Classification of states, The decomposition theorem, Long-term probability distribution. Time-homogeneous Markov Jump Process, Kolmogorov differential equations, Birth and death processes. Inhomogeneous Markov Chains. The M/M/1 queue, Equilibrium behavior, M/M/k, M/M/8 and M/G/1 queues. The Pollaczek-Khintchine formula.
Faculty Department
FACULTY OF SOCIAL SCIENCES AND HUMANITIES Department of Economics and Statistics
Contact Details
Administrative assistant: DILMAHOMED BOCUS Bibi Swaleha
Telephone: 4037400
Email: s.dilmahomed@uom.ac.mu
 

 


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