Michael W Kenyhercz
Datos Biográficos
| ID | 4091561 |
|---|---|
| NOMBRE | Michael W Kenyhercz |
| NOMBRES | Michael W |
| APELLIDO | Kenyhercz |
| FIRMA | KENYHERCZ M W |
| AFILIACIONES | Joint Interoperability Test Command |
| VERIFICADO | No |
| TOTAL DE OBRAS | 4 |
| TOTAL DE CITAS | 10 |
| TOTAL COMO AUTOR | 4 |
| TOTAL COMO EDITOR | 0 |
| PRIMER AÑO DE PUBLICACIÓN | 2014 |
| AÑO MÁS RECIENTE DE PUBLICACIÓN | 2021 |
| ÍNDICE H | 2 |
A New Theoretical Approach to Ancestry Estimation as Applied to Human Crania
Since Frank Livingstone proposed the idea that there are no races, only clines, in 1962, little has changed in how anthropologists study and, ultimately, estimate ancestry. How we talk about the study of human variation may have changed—shifting away from “racial” labels and toward those of supposed ancestral origins—but the methods we use to label and analyze groups, however termed, have remained the same. The author suggests a new theoretical a…
Missing Data Imputation Using Morphoscopic Traits and Their Performance in the Estimation of Ancestry
Missing data are an inherent problem in biological anthropology for both reference data sets and individual cases. The goal of data imputation for forensic anthropological applications is to accurately estimate missing values by using other, observed values. To quantify the accuracy of macromorphoscopic data in conditions with slight (10%), moderate (25%), and severe (50%, 75%, and 90%) amounts of missing data, we selected four data-imputation te…
Size does matter
In the 1980s Edward Harris proposed an approach using principal components analysis to compare mesiodistal and buccolingual crown diameters in humans. A major goal was to remove overall “size” from the measurements – which is ineffective for biological affinity. Relative size, however, is important, i.e., to assess how it is apportioned along the tooth rows. To get at such data, Harris utilized three size predictors in multiple linear regression …
Molar size and shape in the estimation of biological ancestry
Human molars exhibit varying shapes when viewed from the occlusal surface. Available methods for quantifying molar occlusal shape have historically been confined to qualitative descriptions. The present study utilized geometric morphometric analyses to capture molar shape as defined through relative cusp locations. Cusp apices of maxillary and mandibular first and second molars were digitized from 190 American Blacks and Whites to estimate biolog…
Size does matter
In the 1980s Edward Harris proposed an approach using principal components analysis to compare mesiodistal and buccolingual crown diameters in humans. A major goal was to remove overall “size” from the measurements – which is ineffective for biological affinity. Relative size, however, is important, i.e., to assess how it is apportioned along the tooth rows. To get at such data, Harris utilized three size predictors in multiple linear regression …
Molar size and shape in the estimation of biological ancestry
Human molars exhibit varying shapes when viewed from the occlusal surface. Available methods for quantifying molar occlusal shape have historically been confined to qualitative descriptions. The present study utilized geometric morphometric analyses to capture molar shape as defined through relative cusp locations. Cusp apices of maxillary and mandibular first and second molars were digitized from 190 American Blacks and Whites to estimate biolog…
Missing Data Imputation Using Morphoscopic Traits and Their Performance in the Estimation of Ancestry
Missing data are an inherent problem in biological anthropology for both reference data sets and individual cases. The goal of data imputation for forensic anthropological applications is to accurately estimate missing values by using other, observed values. To quantify the accuracy of macromorphoscopic data in conditions with slight (10%), moderate (25%), and severe (50%, 75%, and 90%) amounts of missing data, we selected four data-imputation te…
Molar size and shape in the estimation of biological ancestry
Human molars exhibit varying shapes when viewed from the occlusal surface. Available methods for quantifying molar occlusal shape have historically been confined to qualitative descriptions. The present study utilized geometric morphometric analyses to capture molar shape as defined through relative cusp locations. Cusp apices of maxillary and mandibular first and second molars were digitized from 190 American Blacks and Whites to estimate biolog…
Size does matter
In the 1980s Edward Harris proposed an approach using principal components analysis to compare mesiodistal and buccolingual crown diameters in humans. A major goal was to remove overall “size” from the measurements – which is ineffective for biological affinity. Relative size, however, is important, i.e., to assess how it is apportioned along the tooth rows. To get at such data, Harris utilized three size predictors in multiple linear regression …
Missing Data Imputation Using Morphoscopic Traits and Their Performance in the Estimation of Ancestry
Missing data are an inherent problem in biological anthropology for both reference data sets and individual cases. The goal of data imputation for forensic anthropological applications is to accurately estimate missing values by using other, observed values. To quantify the accuracy of macromorphoscopic data in conditions with slight (10%), moderate (25%), and severe (50%, 75%, and 90%) amounts of missing data, we selected four data-imputation te…
A New Theoretical Approach to Ancestry Estimation as Applied to Human Crania
Since Frank Livingstone proposed the idea that there are no races, only clines, in 1962, little has changed in how anthropologists study and, ultimately, estimate ancestry. How we talk about the study of human variation may have changed—shifting away from “racial” labels and toward those of supposed ancestral origins—but the methods we use to label and analyze groups, however termed, have remained the same. The author suggests a new theoretical a…
Forensic Anthropology and Bioarchaeology Studies (4 obras) · Mathematics (4 obras) · Statistics (4 obras) · Artificial Intelligence (2 obras) · Biology (2 obras) · Computer Science (2 obras) · Data set (2 obras) · dental development and anomalies (2 obras) · Forensic and Genetic Research (2 obras) · Principal component analysis (2 obras)