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Spatial and Multivariate Analysis, Random Sampling Error, and Analytical Noise

Empirical Bayesian Methods at Teotihuacan, Mexico

Bibliographic Data

ID7605157
AuthorsIan G Robertson (Arizona State University, corresponding author)
Year1999
Volume64
Issue1
Pages137-152
Publication date1999-01-01
Open AccessYes
TypeARTICLE
VenueAmerican Antiquity (JOURNAL)
Journal identifiersISSN: 0002-7316 • E-ISSN: 2325-5064
PublisherCambridge University Press (CUP) (PUBLISHER)
DOI10.2307/2694350
OpenAlexW2318620627
LanguageEN
Citations received31
References cited16

Methods of empirical Bayesian statistical inference can help archaeologists deal with problems inherent in variably-sized and, particularly, small artifact samples. The desirability of systematically controlling random effects of sampling error when mapping estimates of artifact type proportions is emphasized in this paper, and concrete examples are provided using ceramic data from the Central Mexican city of Teotihuacan. A Bayesian approach also may be beneficial for pretreating data destined for other kinds of quantitative analysis, such as exploratory multivariate analysis. Correspondence analysis using observed proportions of different types of pottery in assemblages pertaining to the Xolalpan and Metepec phases produces vague results that suggest little in the way of interpretable structure. However, a parallel analysis using posterior estimates of proportions reveals meaningful associations of ceramic categories that appear to relate to more general dimensions of behavioral variability

Archaeology · Artifact (error) · Bayesian inference · Bayesian probability · Econometrics · Exploratory data analysis · Filter (signal processing) · Geography · Inference · Multivariate analysis · Multivariate statistics · Pottery · Sampling (signal processing) · Statistical inference · Statistics · Archaeology and ancient environmental studies · Artificial Intelligence · Computer Science · Image Processing and 3D Reconstruction · Mathematics · Soil Geostatistics and Mapping

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Citations per year1.19
Citation span2000 - 2026 (27)
Highly citedNo

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