Assigned Resampling Method: A new method to estimate size sexual dimorphism in samples of unknown sex

dc.contributor.authorLee, Sang-Hee
dc.date.accessioned2012-09-26T07:21:05Z
dc.date.available2012-09-26T07:21:05Z
dc.date.issued2001
dc.description.abstractThis paper proposes a new method, Assigned Resampling Method (ARM), to estimate the degree of size sexual dimorphism in samples of unknown sex. ARM resamples with replacement pairs of observation from the mixed-sex data and after applying a filter, generates a distribution of dimorpism estimates by transforming the pair values into ratios. The mean of the distribution is proposed as the ARM estimate of sexual dimorphism. Using 40 metric variables from comparative data sets of known sex (91 humans, 46 chimpanzees, and 56 gorillas), the ARM estimates were compared with the observed sexual dimorphism. Results show that the difference between the ARM estimates and the observed sexual dimorphism is within 5% for most of the variables examined. ARM is shown to perform reliably under various conditions of unequal sex ratios and small sample sizes. By directly comparing fragmentary materials without estimating body size, and by using an algorithm that does not rely n sex diagnosis of individual specimens, ARM addresses the challenges of studying sexual dimorphism with fossil samples.pl_PL
dc.identifier.citationAnthropological Review, vol. 64, 2001, pp. 21-39pl_PL
dc.identifier.issn0033-2003
dc.identifier.urihttp://hdl.handle.net/10593/3421
dc.language.isoenpl_PL
dc.publisherPolskie Towarzystwo Antropologicznepl_PL
dc.subjectsexual dimorphismpl_PL
dc.subjectAssigned Resampling Method (ARM)pl_PL
dc.subjectdata resamplingpl_PL
dc.subjectbootstrappingpl_PL
dc.subjectfossil samplespl_PL
dc.titleAssigned Resampling Method: A new method to estimate size sexual dimorphism in samples of unknown sexpl_PL
dc.typeArtykułpl_PL

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Uniwersytet im. Adama Mickiewicza w Poznaniu
Biblioteka Uniwersytetu im. Adama Mickiewicza w Poznaniu
Ministerstwo Nauki i Szkolnictwa Wyższego