The University of Southampton
University of Southampton Institutional Repository

Exact Tests via Complete Enumeration: A Distributed Computing Approach

Record type: Thesis (Doctoral)

The analysis of categorical data often leads to the analysis of a contingency table. For large samples, asymptotic approximations are sufficient when calculating p-values, but for small samples the tests can be unreliable. In these situations an exact test should be considered. This bases the test on the exact distribution of the test statistic. Sampling techniques can be used to estimate the distribution. Alternatively, the distribution can be found by complete enumeration. A new algorithm is developed that enables a model to be defined by a model matrix, and all tables that satisfy the model are found. This provides a more efficient enumeration mechanism for complex models and extends the range of models that can be tested. The technique can lead to large calculations and a distributed version of the algorithm is developed that enables a number of machines to work efficiently on the same problem.

PDF thesis.pdf - Other
Download (749kB)
Postscript thesis.ps - Other
Download (1MB)

Citation

Michaelides, Danius T. (1997) Exact Tests via Complete Enumeration: A Distributed Computing Approach University of Southampton, : University of Southampton, Doctoral Thesis .

More information

Published date: 1997
Additional Information: Address: Southampton, UK
Organisations: University of Southampton, Web & Internet Science

Identifiers

Local EPrints ID: 250749
URI: http://eprints.soton.ac.uk/id/eprint/250749
PURE UUID: 037d51d7-f796-4c0c-b174-be79ed815769

Catalogue record

Date deposited: 16 Sep 1999
Last modified: 18 Jul 2017 10:35

Export record

Contributors

Author: Danius T. Michaelides

University divisions


Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×