Ceramic investigation: how to perform statistical analyses
- PDF / 1,533,779 Bytes
- 19 Pages / 595.276 x 790.866 pts Page_size
- 42 Downloads / 222 Views
(2020) 12:210
ORIGINAL PAPER
Ceramic investigation: how to perform statistical analyses Ioulia Papageorgiou 1 Received: 23 December 2019 / Accepted: 24 June 2020 # Springer-Verlag GmbH Germany, part of Springer Nature 2020
Abstract The aim of this article is to summarize and organize the methodologies used for the statistical analysis in the field of ceramic investigation and, more specifically, the study of ceramic provenance. An update and review of all related methodologies is provided during the presentation of a typical statistical analysis. The presentation is given in a step-by-step process and emphasis is on interpretation of the intermediate and final results. The analysis attempts to cover the following: & & & & & & & & &
What issues to examine in a preliminary analysis Data transformation Cluster analysis Clustering assessment Data dimension reduction methods as part of a clustering visualization and assessment Outliers and small groups Mixed-mode analysis Cluster characterization and discriminating factors Classification
Keywords Cluster analysis . Principal component analysis . Compositional data . Data transformation
Premise This paper contributes to the Topical Collection (TC) Ceramics: Research questions and answers aimed at guiding researchers in the study of archaeological ceramics from excavation to study and preservation in museum collections. Each contribution has a tutorial approach covering one of the main issues pertaining to the study of ceramics: research questions and sampling criteria (Gliozzo 2020a); the chemical (Hein
This article is a Topical Collection on Ceramics: Research questions and answers Electronic supplementary material The online version of this article (https://doi.org/10.1007/s12520-020-01142-x) contains supplementary material, which is available to authorized users. * Ioulia Papageorgiou [email protected] 1
Department of Statistics, Athens University of Economics and Business, Patission 76, 10434 Athens, Greece
and Kilikoglou 2020) and mineralogical-petrographic (Montana 2020) investigation of raw materials; the technological character and suitability of raw materials (Gualtieri 2020); the processing (Eramo 2020) and modelling (Thér 2020) of clays; surface finishing (Ionescu and Hoeck 2020) and ceramic firing (Gliozzo 2020b); the investigation of different coatings such as black glass-ceramic (Aloupi-Siotis 2020), terra sigillata (Sciau et al. 2020) and glazes (Pradell and Molera 2020); the isotopic study of particular types of products such as Chinese ceramics (Henderson et al. 2020); the identification of postburial transformations (Maritan 2020); the dating of ceramics (Galli et al. 2020); and the restoration and musealisation of ceramics (de Lapérouse 2020). This Topical Collection concludes with a tutorial on statistical data processing (this paper).
Introduction This paper is a part of a larger project, a series of papers, aiming to provide a guide to researchers in the study of
210
Page 2 of 19
ceramic materials, ideally in every single stage of the stu
Data Loading...
