Theses and Dissertations
Issuing Body
Mississippi State University
Advisor
Herrmann, Nicholas P.
Committee Member
Zuckerman, Molly K.
Committee Member
Copeland, Toni J.
Date of Degree
5-7-2016
Document Type
Graduate Thesis - Open Access
Major
Applied Anthropology
Degree Name
Master of Arts
College
College of Arts and Sciences
Department
Department of Anthropology and Middle Eastern Cultures
Abstract
Age estimation, a component of the biological profile, contributes significantly to the creation of a post-mortem profile of an unknown set of human remains. This goal of this study is to: (1) refine the juvenile age estimation method of cranial vault thickness (CVT) through MARS modeling, (2) test the method on known age samples, and (3) compare CVT and dental development age estimations. Data for this study comes from computed tomography (CT) scans, radiographic images, and dry bone. CVT was measured at seven cranial landmarks (nasion, glabella, bregma, vertex, vertex radius, lambda and opisthocranion). Results indicate that CVT models vary in their predictive ability; vertex and lambda produce the best results. Predicted fit values and prediction intervals for CVT are larger, and less accurate than dental development age estimates. Aging by CVT could benefit from a larger known age sample composed of individuals older than 6 years old.
URI
https://hdl.handle.net/11668/19258
Recommended Citation
Kamnikar, Kelly R., "Investigating the Utility of Age-Dependent Cranial Vault Thickness as an Aging Method for Juvenile Skeletal Remains on Dry Bone, Radiographic and Computed Tomography Scans" (2016). Theses and Dissertations. 2825.
https://scholarsjunction.msstate.edu/td/2825
Comments
multivariate adaptive regression splines||age estimation