The University of Sheffield
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MAS223   Statistical Inference and Modelling   (20 credits)

 
Year Running: 2015/2016
Credit level: F5
Pre-requisites   MAS110   MAS111   MAS113  
Pre-requisites for   MAS360   MAS363   MAS367   MAS367   MAS371   MAS452   MAS462   MAS463   MAS464   MAS465   MAS6019   MAS61001   MAS61003   (when the module is running)
Co-requisites   MAS211   MAS281  

Description

This unit develops methods for analysing data, and provides a foundation for further study of probability and statistics at Level 3. It introduces some standard distributions beyond those met in MAS113, and proceeds with study of continuous multivariate distributions, with particular emphasis on the multivariate normal distribution. Transformations of univariate and multivariate continuous distributions are studied, with the derivation of sampling distributions of important summary statistics as applications. The concepts of likelihood and maximum likelihood estimation are developed. Data analysis is studied within the framework of linear models. There will be substantial use of the software package R.

 

Reading List


Please click here for reading list.
 

Teaching Methods

Delivery Type Hours
Independent 150.0
Lecture 40.0
Problem Solving 10.0
 

Methods of assessment

Assessment Type Duration % of formal assessment Semester
Course Work 0.0 20 %
Exam 2.5 80 %
 

Teaching methods and assessment displayed on this page are indicative for 2023-24.