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Robust coordinates for compositional data using weighted balances

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989592%3A15310%2F15%3A33159867" target="_blank" >RIV/61989592:15310/15:33159867 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Robust coordinates for compositional data using weighted balances

  • Original language description

    Multivariate observations which carry exclusively relative information are known under the name compositional data, and they have very specific geometrical properties. In order to represent them in the usual Euclidean geometry, they need to be expressed in orthonormal coordinates prior to their possible further statistical processing. As it is not possible to construct Cartesian coordinates for the compositions, that would assign a coordinate for each of the parts separately, a choice of interpretable orthonormal coordinates is of particular interest. Although recent experiences show clear advantages of such coordinates, where the first coordinate aggregates information from logratios with a particular compositional part of interest, their usefulness is limited if there are distortions like rounding errors or other data problems in the involved parts. The aim of the paper is thus to introduce a "robust" version of these coordinates, where the role of the remaining parts (with respect to the part of interest) is weighted according to their relevance for the purpose of the statistical analysis. Theoretical considerations are accompanied by examples with data sets from chemistry and geochemistry, pointing out the role of robust estimation in the context of regression with compositional covariates.

  • Czech name

  • Czech description

Classification

  • Type

    C - Chapter in a specialist book

  • CEP classification

    BA - General mathematics

  • OECD FORD branch

Result continuities

  • Project

    <a href="/en/project/EE2.3.20.0170" target="_blank" >EE2.3.20.0170: Building of Research Team in the Field of Environmental Modeling and the Use of Geoinformation Systems with the Consequence in Participation in International Networks and Programs</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2015

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Book/collection name

    Modern nonparametric, robust and multivariate methods

  • ISBN

    978-3-319-22403-9

  • Number of pages of the result

    18

  • Pages from-to

    167-184

  • Number of pages of the book

    506

  • Publisher name

    Springer International Publishing

  • Place of publication

    Heidelberg

  • UT code for WoS chapter