# Educational Material for Mathematics and Statistics

## Educational material for mathematics and statistics available for download for private use.

## Main Coursebook

Introduction to Statistical Methodology

Comprehensive lecture notes for a course on introductory statistics. A separate book of practice exercises to accompany these lecture notes can be found on this page. [490 pp.]

## Exercises with Solutions

Exercises for Introduction to Statistical Methodology

Extensive set of practice exercises with solutions. These range from technical exercises to extended project-style applications involving real data. These are cross-tabulated with the main coursebook. [305 pp.]

## Main Coursebook

Intermediate Statistical Methodology

Comprehensive lecture notes for a course on intermediate statistical methodology. The coursebook contains an extensive set of practice exercises with solutions. These range from technicalÂ exercises to extended project-style applications involving real data. A separate archive of demonstration software to accompany these lecture notes can be found on this page. [604 pp.]

## Software Files

Software files for Intermediate Statistical Methodology

An archive of R software files to accompany Intermediate Statistical Methodology. These contain fully coded applications of the methods described in the main coursebook. [zipped archive of 20 R files]

## Study Notes

A compact summary of introductory topology. [49 pp.]

Study Notes on Topology

## Study Notes

Operations Research

Includes dynamic programming and utility theory. These are fairly old, but I hope still useful. [61 pp.]

## Study Notes

Causal Inference and Bayesian Networks

Summary of the basic theory of Bayesian networks, and their relationship to causal inference. [55 pp.]

## Lecture Slides

Causal Inference and Bayesian Networks

A version of the Causal Inference and Bayesian Networks study notes in lecture slide format. [80 pp.]

## Lecture Slides

Advanced Theory of Statistical Inference

Lecture slides for a graduate level course 0n the theory of statistical inference (large sample inference is not included in this course) [zipped archive contains 22 files of lecture slides, with a separate legend file]