Module Directory

 

Module Description

 
 
Module Name
Module Code
Lecture Hrs
Practical Hrs
Credits
Statistical Inference
STAT2001Y(3)
3
0
6

Description
Frequentist approach: Sufficiency. Cramer Rao Lower bound. Minimum variance unbiased estimation. Methods of deriving confidence intervals. Hypothesis testing. Likelihood ratio tests. Optimality of tests. Bayesian approach: Hypothesis space. Likelihood function. Bayes Theorem on inference. Normal modelling: prior and posterior distributions. Conjugate distributions. Combining information from independent sources. Linear transforms and the multivariate normal. Analysis of variance revisited; random effects models. Decisions, utility and summarisation Frequentist approach: Sufficiency. Cramer Rao Lower bound. Minimum variance unbiased estimation. Methods of deriving confidence intervals. Hypothesis testing. Likelihood ratio tests. Optimality of tests. Bayesian approach: Hypothesis space. Likelihood function. Bayes Theorem on inference. Normal modelling: prior and posterior distributions. Conjugate distributions. Combining information from independent sources. Linear transforms and the multivariate normal. Analysis of variance revisited; random effects models. Decisions, utility and summarisation
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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