Abstract:
:A matrix decomposition model for analyzing prehistoric intracemetery biological variability is presented. The model, based on the correlation between interindividual biological and burial distance matrices, provides an estimate of the number of distinct burial populations interred within a single cemetery, which effectively ameliorates identifiability problems typical of general variability analyses (Raemsch [1995] Ph.D. dissertation, SUNY at Albany). Unlike other methods for analyzing intrasite variability analysis (e.g., kinship analysis and microchronology), this method is not reliant on a priori subgroup definition. Assuming a kin-structured burial pattern, a residual matrix is defined based on the raw data matrices; the proportion of negative or zero residuals to the total number of residuals provides an estimate of the number of hidden subgroupings (lineages) within the cemetery. The comparative utility of the model is demonstrated on a series of protohistoric and historic period skeletal samples from the Georgia coast, where it demonstrated that the increase in phenotypic variability during the early mission period is the result of population aggregation at the missions and not necessarily genetic admixture between local and nonlocal groups.
journal_name
Am J Phys Anthropoljournal_title
American journal of physical anthropologyauthors
Stojanowski CMdoi
10.1002/ajpa.10221subject
Has Abstractpub_date
2003-11-01 00:00:00pages
216-31issue
3eissn
0002-9483issn
1096-8644journal_volume
122pub_type
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journal_title:American journal of physical anthropology
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pub_type: 杂志文章
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pub_type: 杂志文章
doi:10.1002/(SICI)1096-8644(199605)100:1<7::AID-AJPA2>
更新日期:1996-05-01 00:00:00
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doi:10.1002/ajpa.1330560307
更新日期:1981-11-01 00:00:00
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journal_title:American journal of physical anthropology
pub_type: 历史文章,杂志文章
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更新日期:2017-01-01 00:00:00
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journal_title:American journal of physical anthropology
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更新日期:2018-10-01 00:00:00
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