Advances in Compositional Data Analysis Festschrift in Honour of Vera Pawlowsky-Glahn
This book presents modern methods and real-world applications of compositional data analysis. It covers a wide variety of topics, ranging from an updated presentation of basic concepts and ideas in compositional data analysis to recent advances in the context of complex data structures. Further, it...
| Other Authors: | , , , |
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| Format: | eBook |
| Language: | English |
| Published: |
Cham
Springer International Publishing
2021, 2021
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| Edition: | 1st ed. 2021 |
| Subjects: | |
| Online Access: | |
| Collection: | Springer eBooks 2005- - Collection details see MPG.ReNa |
Table of Contents:
- J.M. McKinley, U. Mueller, P.M. Atkinson, U. Ofterdinger, S.F. Cox, R. Doherty, D. Fogarty and J.J. Egozcue
- Chronic kidney disease of uncertain aetiology and its relation with waterborne environmental toxins: An investigation via compositional balances
- R.A. Olea, J.A. Martín-Fernández and W.H. Craddock: Multivariate classification of the crude oil petroleum systems in southeast Texas, USA, using conventional and compositional data analysis of biomarkers
- J.R. Wu, J.M. Macklaim, B.L. Genge and G.B. Gloor: Finding the centre: compositional asymmetry in high-throughput sequencing datasets
- L. Huang and H. Li: Bayesian balance-regression in microbiome studies using stochastic search
- D.E. McGregor, P.M. Dall, J. Palarea-Albaladejo and S.F.M. Chastin: Compositional data analysis in physical activity and health research. Looking for the right balance
- M. Templ: Artificial neuralnetworks to impute rounded zeros in compositional data
- E. Saus–Sala, À. Farreras–Noguer, N. Arimany–Serrat, and G. Coenders: Compositional du pont analysis. A visual tool for strategic financial performance assessment
- A. Menafoglio: Spatial statistics for distributional data in Bayes spaces: from object-oriented kriging to the analysis of warping functions
- C. Thomas-Agnan, T. Laurent, A. Ruiz-Gazen, N. Thi Huong An, R. Chakir and A. Lungarska: Spatial simultaneous autoregressive models for compositional data: application to land use
- Part III Applications
- A. Buccianti, C. Gozzi: The whole versus the parts: the challenge of compositional data analysis (CoDA) methods for geochemistry
- M.A. Engle and J.A. Chaput: Groundwater origin determination in historic chemical datasets through supervised compositional data analysis: Brines of the Permian Basin, USA
- Preface
- J.J. Egozcue and W.L. Maldonado: An interpretable orthogonal decomposition of positive square matrices
- Part I Fundamentals
- I. Erb and N. Ay: The information-geometric perspective of compositional data analysis
- D.R. Lovell: Log-ratio analysis of finite precision data: caveats, and connections to digital lines and number theory
- G. Mateu-Figueras, G.S. Monti and J.J. Egozcue: Distributions on the simplex revisited
- J. Graffelman: Compositional biplots: a story of false leads and hidden features revealed by the last dimensions
- Part II Statistical Methodology
- K. Fačevicová, P. Kynčlová and K. Macků: Geographically weighted regression analysis for two-factorial compositional data
- C. Barceló-Vidal and J.A. Martín-Fernández: Factor analysis of compositional data with a total
- M. Gallo, V. Simonacci and V. Todorov: A compositional three-way approach for student satisfaction analysis
- D. Dumuid, Ž. Pedišić, J. Palarea-Albaladejo, J.A. Martín-Fernández, K. Hron and T. Olds: Compositional data analysis in time-use epidemiology