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Statistical Modelling and Computing - MATH3821
 The Quad

   
   
   
 
Campus: Kensington Campus
 
 
Career: Undergraduate
 
 
Units of Credit: 6
 
 
EFTSL: 0.12500 (more info)
 
 
Indicative Contact Hours per Week: 4
 
 
Enrolment Requirements:
 
 
Prerequisite: MATH2831 or MATH2931
 
 
CSS Contribution Charge:Band 5 (more info)
 
   
 
Further Information: See Class Timetable
 
  

Description

Introduction to flexible and modern approaches to statistical modelling and statistical computing. Theory, applications and computation for linear models, generalised linear models, the Bayesian linear model, nonparametric regression using kernel smoothers and smoothing splines, nonparametric density estimation and bandwidth selection. Applications of simulation in statistical inference including Monte Carlo simulation, bootstrap methods, and Markov chain Monte Carlo. Statistical packages include R or Splus.

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