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MA930 - Module Resources

Syllabus 2016-17

Probability

  • Probability spaces, random variables, independence
  • Probability distributions for statistical modelling
  • The central limit theorem

Statistics

  • Sufficient statistics and the factorization theorem
  • Maximum likelihood estimators
  • Interval estimation
  • Hypothesis testing and p-values
  • The Neman-Pearson Lemma
  • Regression
  • Bayesian Statistics

Data Analysis

  • Preprocessing
  • Exploratory data analysis: summary statistics, histograms, scatterplots, correlations, common data transformations

Books

Software

  • http://www.rstudio.com/
  • http://www.r-project.org/

Key dates

Assignment 1 due 20/10/2016.
Assignment 2 due 31/10/2016.
90 minute class test 31/10/2016 2pm.
Vivas 3/11/2016 (10 am and 2pm).

Course details for 2016/17

Sessions

Monday 3/10: Lab1.pdf

Thursday 6/10: Lab2.pdf

Monday 10/10:

Thursday 13/10:

Monday 17/10:

Thursday 20/10

Monday 24/10

Thursday 27/10

Monday 31/10