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Comments on: “Compositional data: the sample space and its structure”. (English) Zbl 1428.62233
Comment to [J. J. Egozcue and V. Pawlowsky-Glahn, ibid. 28, No. 3, 599–638 (2019; Zbl 1428.62220)].

MSC:
62H12 Estimation in multivariate analysis
62H25 Factor analysis and principal components; correspondence analysis
62P20 Applications of statistics to economics
60F05 Central limit and other weak theorems
62G30 Order statistics; empirical distribution functions
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[1] Coenders, G.; Martín-Fernández, JA; Ferrer-Rosell, B., When relative and absolute information matter. Compositional predictor with a total in generalized linear models, Stat Model, 17, 494-512, (2017)
[2] Linares-Mustarós, S.; Coenders, G.; Vives-Mestres, M., Financial performance and distress profiles. From classification according to financial ratios to compositional classification, Adv Account, 40, 1-10, (2018)
[3] Palarea-Albaladejo, J.; Martín-Fernández, JA; Soto, JA, Dealing with distances and transformations for fuzzy C-means clustering of compositional data, J Classif, 29, 144-169, (2012) · Zbl 1360.62347
[4] Pawlowsky-Glahn, V.; Egozcue, JJ; Lovell, D., Tools for compositional data with a total, Stat Model, 15, 175-90, (2015)
[5] Pierotti, ME; Martín-Fernández, JA; Barceló-Vidal, C., The peril of proportions: robust niche indices for categorical data, Methods Ecol Evol, 8, 232-240, (2017)
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