Robust principal component analysis for compositional tables-Reference-Cited by-同舟云学术

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Robust principal component analysis for compositional tables

Published:2020-02-04 Issue:2 Volume:48 Page:214-233
ISSN:0266-4763
Container-title:Journal of Applied Statistics
language:en
Short-container-title:Journal of Applied Statistics

Author:

de Sousa J.¹^ORCID,Hron K.¹^ORCID,Fačevicová K.¹^ORCID,Filzmoser P.²^ORCID

Affiliation:

1. Department of Mathematical Analysis and Applications of Mathematics, Faculty of Science, Palacký University, Olomouc, Czech Republic

2. Institute of Statistics and Mathematical Methods in Economics, Vienna University of Technology, Vienna, Austria

Publisher

Informa UK Limited

Subject

Statistics, Probability and Uncertainty,Statistics and Probability

Link

https://www.tandfonline.com/doi/pdf/10.1080/02664763.2020.1722078

Reference38 articles.

1. The Statistical Analysis of Compositional Data

2. Biplots of compositional data

3. Spatio-temporal regression on compositional covariates: modeling vegetation in a gypsum outcrop

4. Variation diagrams to statistically model the behavior of geochemical variables: Theory and applications

5. How to analyze many contingency tables simultaneously in genetic association studies

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1. Health-related quality of life is linked to the gut microbiome in kidney transplant recipients;Nature Communications;2023-12-02

2. Compositional cubes: a new concept for multi-factorial compositions;Statistical Papers;2022-08-11

3. Daily movement behaviours and cognition in mid-life: A cross-sectional compositional analysis of the 1970 British Cohort Study;2022-07-07

4. Andic Soil Properties and Tephra Layers Hamper C Turnover in Icelandic Peatlands;Journal of Geophysical Research: Biogeosciences;2021-11-24

5. Geographically Weighted Regression Analysis for Two-Factorial Compositional Data;Advances in Compositional Data Analysis;2021

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