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Full-Text Articles in Biological and Physical Anthropology
Estimating Postmortem Intervals Of Human Remains Recovered In Mid-Western Waterways: A Test Of Terrestrial And Aquatic Body Scoring Methods, Amanda Rose Fink
Estimating Postmortem Intervals Of Human Remains Recovered In Mid-Western Waterways: A Test Of Terrestrial And Aquatic Body Scoring Methods, Amanda Rose Fink
Masters Theses
In attempt to determine postmortem intervals (PMI), forensic investigators often rely on observed amounts of postmortem taphonomic alterations of the human body. Research has been conducted in an attempt to understand and predict the sequence and rate of human decomposition using total body scoring methods as well as accumulated degree days (ADD) (Megyesi et al. 2005). While most research focuses on methods of decomposition scoring in terrestrial environments, Heaton et al. (2010) devised a method to aid in the prediction of PMI and postmortem submersion intervals (PMSI) in an aqueous environment. Using 73 forensic cases collected from the Hennepin County, …
Nonparametric Discriminant Analysis In Forensic Ancestry Estimation: An Assessment Of Utilized And Alternative Statistical Methods, David Anthony Mercer
Nonparametric Discriminant Analysis In Forensic Ancestry Estimation: An Assessment Of Utilized And Alternative Statistical Methods, David Anthony Mercer
Masters Theses
This thesis evaluates and compares the performances of four discriminant analysis techniques in forensic ancestry estimation using craniometric variables. Giles and Elliot (1962) were the first anthropologists to use discriminant analysis for ancestry estimation. They used Linear Discriminant Analysis (LDA) in an attempt to predict American White, American Black, and American Indian ancestry from craniometric variables. LDA has since been the dominant discriminant technique used for this purpose. It is the method that is exclusively used in FORDISC (Ousley and Jantz, 2005) and, until recently, was the only method applied to forensic craniometric ancestry estimation.
LDA, however, assumes the data …