Statistical sex determination from craniometrics: Comparison of linear discriminant analysis, logistic regression, and support vector machines

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11310%2F14%3A10282532" target="_blank" >RIV/00216208:11310/14:10282532 - isvavai.cz</a>

Výsledek na webu

<a href="http://dx.doi.org/10.1016/j.forsciint.2014.10.010" target="_blank" >http://dx.doi.org/10.1016/j.forsciint.2014.10.010</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1016/j.forsciint.2014.10.010" target="_blank" >10.1016/j.forsciint.2014.10.010</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Statistical sex determination from craniometrics: Comparison of linear discriminant analysis, logistic regression, and support vector machines

Popis výsledku v původním jazyce

Accuracy of identification tools in forensic anthropology primarily rely upon the variations inherent in the data upon which they are built. Sex determination methods based on craniometrics are widely used and known to be specific to several factors (e.g. sample distribution, population, age, secular trends, measurement technique, etc.). The goal of this study is to discuss the potential variations linked to the statistical treatment of the data. Traditional craniometrics of four samples extracted fromdocumented osteological collections (from Portugal, France, the U.S.A., and Thailand) were used to test three different classification methods: linear discriminant analysis (LDA), logistic regression (LR), and support vector machines (SVM). The Portuguese sample was set as a training model on which the other samples were applied in order to assess the validity and reliability of the different models. The tests were performed using different parameters: some included the selection of the

Název v anglickém jazyce

Statistical sex determination from craniometrics: Comparison of linear discriminant analysis, logistic regression, and support vector machines

Popis výsledku anglicky

Accuracy of identification tools in forensic anthropology primarily rely upon the variations inherent in the data upon which they are built. Sex determination methods based on craniometrics are widely used and known to be specific to several factors (e.g. sample distribution, population, age, secular trends, measurement technique, etc.). The goal of this study is to discuss the potential variations linked to the statistical treatment of the data. Traditional craniometrics of four samples extracted fromdocumented osteological collections (from Portugal, France, the U.S.A., and Thailand) were used to test three different classification methods: linear discriminant analysis (LDA), logistic regression (LR), and support vector machines (SVM). The Portuguese sample was set as a training model on which the other samples were applied in order to assess the validity and reliability of the different models. The tests were performed using different parameters: some included the selection of the

Druh

J_x - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)

CEP obor

AC - Archeologie, antropologie, etnologie

OECD FORD obor

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Projekt

—

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2014

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

Forensic Science International

ISSN

0379-0738

e-ISSN

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Svazek periodika

245

Číslo periodika v rámci svazku

december

Stát vydavatele periodika

IE - Irsko

Počet stran výsledku

8

Strana od-do

1-8

Kód UT WoS článku

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EID výsledku v databázi Scopus

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