Skip to main content
Article thumbnail
Location of Repository

Statistical Analysis in MiroSot

By J. L. Baxter, J. M. Garibaldi, E. K. Burke and M. Norman

Abstract

The world of robot soccer is a subjective one due to the di cult nature of collecting data. In this paper we present a number of non-parametric statistical tests that can be used to analyze the performance of strategies without the need for a large sample size. We present results that show a \case-based " strategy performs signi cantly better (statistically) than a \potential eld " strategy in simulation based on a sample of only ten games. These populations have the same variance."

Year: 2011
OAI identifier: oai:CiteSeerX.psu:10.1.1.193.335
Provided by: CiteSeerX
Download PDF:
Sorry, we are unable to provide the full text but you may find it at the following location(s):
  • http://citeseerx.ist.psu.edu/v... (external link)
  • http://www.asap.cs.nott.ac.uk/... (external link)
  • Suggested articles


    To submit an update or takedown request for this paper, please submit an Update/Correction/Removal Request.