A Bayesian approach to adult human age estimation from dental observations by Johanson's age changes.
作者： D. Lucy , R. G. Aykroyd , A. M. Pollard , T. Solheim
DOI: 10.1520/JFS15411J
关键词: Regression analysis 、 Demography 、 Age changes 、 Statistics 、 Forensic anthropology 、 Estimation 、 Bayes' theorem 、 Computer science 、 Categorical variable 、 Bayesian probability 、 Age estimation
摘要: Much of the data which appears in forensic and archaeological literature is ordinal or categorical. This particularly true age related indicators presented by Gustafson his method human adult estimation using structural changes teeth. technique still being modified elaborated. However, statistical methods regression analysis employed others are not appropriate to this type data, but because alternatives have yet been explored. paper presents a novel approach based upon application Bayes' theorem categorical overcomes many problems associated with analysis.
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