Michael Kenyhercz
Datos Biográficos
| ID | 2769680 |
|---|---|
| NOMBRE | Michael Kenyhercz |
| NOMBRES | Michael |
| APELLIDO | Kenyhercz |
| FIRMA | KENYHERCZ M |
| VERIFICADO | No |
| TOTAL DE OBRAS | 2 |
| TOTAL DE CITAS | 1 |
| TOTAL COMO AUTOR | 2 |
| TOTAL COMO EDITOR | 0 |
| PRIMER AÑO DE PUBLICACIÓN | 2019 |
| AÑO MÁS RECIENTE DE PUBLICACIÓN | 2021 |
| ÍNDICE H | 1 |
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…
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…
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…
Artificial Intelligence (2 obras) · Computer Science (2 obras) · Data set (2 obras) · Forensic Anthropology and Bioarchaeology Studies (2 obras) · Mathematics (2 obras) · Race, Genetics, and Society (2 obras) · Statistics (2 obras) · Archaeology (1 obras) · Artificial Intelligence (1 obras) · Biology (1 obras)