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Sex Assessment from Ulna

A New Approach

Bibliographic Data

ID5198501
AuthorsRuma Purkait (0000-0001-7737-2521, University of Hyderabad, corresponding author)
Year1996
Volume7
Issue1
Pages29-34
Publication date1996-03-01
Open AccessYes
TypeARTICLE
VenueJournal of Human Ecology (JOURNAL)
Journal identifiersISSN: 0970-9274 • E-ISSN: 2456-6608
PublisherKamla Raj Enterprises (PUBLISHER)
DOI10.1080/09709274.1996.11907188
OpenAlexW2770563101
LanguageEN
Citations received1
References cited1

The present study varies from conventional methods and proposes alternate methods for the assessment of sex using the ulna. The present study is based on 100 male and 60 female adult ulnae from Madhya Pradesh. India. The results of different methods are reported independently and examined together. The data is then analysed using a discriminant function procedure for estimating sex. The resulting variables correctly assign sex for 99% of males and 91.7% of females. The calibrated discriminant functions correctly classified 100% of males and 88.23% of females of an independent test sameple

Biology · Discriminant · Discriminant function analysis · Female sex · Linear discriminant analysis · Statistics · Ulna · Computer Science · Demographic Trends and Gender Preferences · Gender Roles and Identity Studies · Mathematics · Medicine · South Asian Studies and Conflicts · Artificial Intelligence · Internal Medicine · Surgery

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Citations per year0.08
Citation span2013 - 2013 (1)
Highly citedNo

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