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
- Casella R. and Berger R. L. (2002) Statistical Inference (2nd ed.); Duxbury.
- simpleR Verzani
- Grinstead and Snell's Introduction to Probability
- Adam Johansen: Fundamentals of Statistics
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