Professor, University of Bradford, West Yorkshire
Research Student, University of Bradford, Bradford, West Yorkshire
Professor, School of Mathematics, University of Leeds, Leeds, West Yorkshire
Professor, Department of Oral Pathology and Section for Forensic Odontology, Blindern, Oslo,
(Received 29 May 1995; accepted 11 August 1995)
Much of the data which appears in the forensic and archaeological literature is ordinal or categorical. This is particularly true of the age related indicators presented by Gustafson  in his method of human adult age estimation using the structural changes in human teeth. This technique is still being modified and elaborated. However, the statistical methods of regression analysis employed by Gustafson and others are not particularly appropriate to this type of data, but are still employed because alternatives have not yet been explored. This paper presents a novel approach based upon the application of Bayes' theorem to ordinal and categorical data, which overcomes many of the problems associated with regression analysis.
Paper ID: JFS15411J