Module Directory

 

Module Description

 
 
Module Name
Module Code
Lecture Hrs
Practical Hrs
Credits
Statistical Computing II
STAT3231(5)
3
0
3

Description
Linear models: LU, Choleski and QR decomposition. SVD. Optimisation and non-linear equations: Least squares and Maximum likelihood. Quadrature methods for multi-dimensional integrals. Importance sampling and Bayesian Inference. MCMC: Gibbs sampler, Metropolis-Hastings. Boostrap regression models. Boostrap confidence intervals. R - Statistical Language.
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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