A tale of two logits, compositional data analysis and zero observations

The application of compositional data analysis through log ratio trans- formations corresponds to a multinomial logit model for the shares themselves. This model is characterized by the property of Independence of Irrelevant Alter- natives (IIA). IIA states that the odds ratio in this case the ratio of shares is invariant to the addition or deletion of outcomes to the problem. It is exactly this invariance of the ratio that underlies the commonly used zero replacement procedure in compositional data analysis. In this paper we investigate using the nested logit model that does not embody IIA and an associated zero replacement procedure and compare its performance with that of the more usual approach of using the multinomial logit model. Our comparisons exploit a data set that com- bines voting data by electoral division with corresponding census data for each division for the 2001 Federal election in Australia

Compositional data analysis of vote shares in the 2001 Australian Federal election

First application of compositional data analysis techniques to Australian election data

Media Streaming

Hundreds of streamable films and videos for free use in teaching and learning within the University of Southampton.

Support for International Students

International student experience video - this video is 20 minutes long and has been devised by Bill Brooks, Hazel Chauhan and Karin Frydenlund, with support from the University's Learning and Teaching Enhancement Fund. It includes contributions from a number of international students and from members of staff with particular expertise in this area.

COMP3016 Web Technology - Strand 3 "History" Lecture 5

Lecture 5: Web 2.0 and Social Hypertext Contains Powerpoint Lecture slides and Hypertext Research Papers: What Is Web 2.0 Design Patterns and Business Models for the Next Generation of Software . Tim O'Reilly (2005); Web 2.0: Hypertext by Any Other Name? (Millard & Ross, 2006)

COMP3016 Web Technology - Strand "Web Science" Lecture 1

Lecture 1: Introduction to Web Science Lecture slides and video by Directors of Web Science Research Initiative (Wendy Hall and Tim Berners-Lee)

Mapping the Web and Web Science

This tutorial material introduces an activity in which the students are asked to redraw Tim Berners-Lee's map of the Web to include Web Science.

Mathematical Population Biology

math3052 lecture notes (2008-9)