Crossmark

Sex estimation: a comparison of techniques based on binary logistic, probit and cumulative probit regression, linear and quadratic discriminant analysis, neural networks, and naïve Bayes classification using ordinal variables

Crossref DOI link: https://doi.org/10.1007/s00414-019-02148-4

Published Online: 2019-08-23

Published Print: 2020-05

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Nikita, Efthymia https://orcid.org/0000-0003-2094-5047
Nikitas, Panos
Funding

Funding for this research was provided by:

H2020 Spreading Excellence and Widening Participation (811068)

Research Promotion Foundation (EXCELLENCE/1216/0023)
License Information

Text and Data Mining valid from 2019-08-23

Version of Record valid from 2019-08-23
More Information

Article History

Received: 22 April 2019

Accepted: 15 August 2019

First Online: 23 August 2019

Compliance with ethical standards

:

: The authors declare that they have no conflict of interest.

Document is current

Any future updates will be listed below