Ceramic investigation: how to perform statistical analyses

被引:29
作者
Papageorgiou, Ioulia [1 ]
机构
[1] Athens Univ Econ & Business, Dept Stat, Patission 76, Athens 10434, Greece
关键词
Cluster analysis; Principal component analysis; Compositional data; Data transformation; R PACKAGE; VALIDATION;
D O I
10.1007/s12520-020-01142-x
中图分类号
Q98 [人类学];
学科分类号
030303 ;
摘要
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
引用
收藏
页数:19
相关论文
共 50 条
  • [31] Characterization and selection of dairy lactococci based on statistical analyses of biochemical and technological properties
    Server-Busson, C
    Danzart, M
    Juillard, V
    Leveau, JY
    LAIT, 1998, 78 (05): : 543 - 556
  • [32] Type I errors linked to faulty statistical analyses of endangered subspecies classifications
    Skalski, John R.
    Townsend, Richard L.
    McDonald, Lyman L.
    Kern, John W.
    Millspaugh, Joshua J.
    JOURNAL OF AGRICULTURAL BIOLOGICAL AND ENVIRONMENTAL STATISTICS, 2008, 13 (02) : 199 - 220
  • [33] Restoring statistical validity in group analyses of motion-corrupted MRI data
    Lutti, Antoine
    Corbin, Nadege
    Ashburner, John
    Ziegler, Gabriel
    Draganski, Bogdan
    Phillips, Christophe
    Kherif, Ferath
    Callaghan, Martina F.
    Di Domenicantonio, Giulia
    HUMAN BRAIN MAPPING, 2022, 43 (06) : 1973 - 1983
  • [34] Statistical Risk and Performance Analyses on Naturalistic Driving Trajectory Datasets for Traffic Modeling
    Zong, Ruixue
    Wang, Ying
    Ding, Juan
    Deng, Weiwen
    WORLD ELECTRIC VEHICLE JOURNAL, 2024, 15 (03):
  • [35] A Guide for Calculating Study-Level Statistical Power for Meta-Analyses
    Quintana, Daniel S.
    ADVANCES IN METHODS AND PRACTICES IN PSYCHOLOGICAL SCIENCE, 2023, 6 (01)
  • [36] VISUALIZATION INVESTIGATION ON THE MARINE DATA WITH MULTIVARIATE STATISTICAL ANALYSIS METHODS
    Li Yajie
    Lv Zhengdong
    Wang Maonan
    POLISH MARITIME RESEARCH, 2017, 24 : 89 - 94
  • [37] Replicability of simulation studies for the investigation of statistical methods: the RepliSims project
    Luijken, K.
    Lohmann, A.
    Alter, U.
    Claramunt Gonzalez, J.
    Clouth, F. J.
    Fossum, J. L.
    Hesen, L.
    Huizing, A. H. J.
    Ketelaar, J.
    Montoya, A. K.
    Nab, L.
    Nijman, R. C. C.
    Penning de Vries, B. B. L.
    Tibbe, T. D.
    Wang, Y. A.
    Groenwold, R. H. H.
    ROYAL SOCIETY OPEN SCIENCE, 2024, 11 (01):
  • [38] Mechanism-based structure-activity relationship (SAR) analysis of aromatic amines and nitroaromatics carcinogenicity via statistical analyses based on CPDB
    Wan, Wen-xin
    Chen, Yi
    Zhang, Jing
    Shen, Fei
    Luo, Ling
    Deng, Shi-huai
    Xiao, Hong
    Zhou, Wei
    Deng, Ou-ping
    Yang, Hua
    Xiao, Yin-long
    Huang, Chu-rui
    Tian, Dong
    He, Jin-song
    Wang, Ying-jun
    TOXICOLOGY IN VITRO, 2019, 58 : 13 - 25
  • [39] Peeking into the Black Box of Coregistration in Clinical fMRI: Which Registration Methods Are Used and How Well Do They Perform?
    Raslau, F. D.
    Lin, L. Y.
    Andersen, A. H.
    Powell, D. K.
    Smith, C. D.
    Escott, E. J.
    AMERICAN JOURNAL OF NEURORADIOLOGY, 2018, 39 (12) : 2332 - 2339
  • [40] Multivariate Statistical Factor and Cluster Analyses for Selecting Food Waste Optimal Recycling Methods
    Lin, Chitsan
    Wu, Edward Ming-Yang
    Lee, Chien-Nan
    Kuo, Shu-Lung
    ENVIRONMENTAL ENGINEERING SCIENCE, 2011, 28 (05) : 349 - 356