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Calculation of Smith’s Mean Measure of Divergence for Intergroup Comparisons Using Nonmetric Data

Bibliographic Data

ID6655596
AuthorsEdward F Harris (University of Tennessee Health Science Center, corresponding author), Torstein Sjøvold (0000-0001-5978-4303, Stockholm University)
Year2018
Volume17
Issue3
Pages83-93
Publication date2018-09-03
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueDental Anthropology Journal (JOURNAL)
Journal identifiersISSN: 1096-9411 • E-ISSN: 2769-822X
PublisherDental Anthropology Association (PUBLISHER • US)
DOI10.26575/daj.v17i3.152
OpenAlexW2907164639
LanguageEN
Citations received77
References cited13

The Mean Measure of Divergence (MMD) is a formula that converts a battery of trait frequencies into a numerical value such that the more dissimilar two samples are, the greater the value. This measure of phenetic distance was developed by the statistician Cedric A. B. Smith and has become popular among dental anthropologists and osteologists for estimating the dissimilarity among groups in order to help reconstruct populations’ movements and structure over time and space. The purpose of the present study is to present the correct formulae and procedures for the MMD given that (1) numerous errors have entered into the literature concerning the formulae themselves, (2) improvements have been described that should be incorporated, and (3) various misunderstandings and misinterpretations have developed that need clarification

Data mining · Divergence (linguistics · Measure (data warehouse · Statistician · Statistics · Value (mathematics · Animal Behavior and Welfare Studies · Computer Science · Genetic and phenotypic traits in livestock · Mathematics · Philosophy · Sensory Analysis and Statistical Methods

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Unique citing works77
Citations per year4,05
Citation span2007 - 2026 (20)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 65

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