Robust statistical analysis of compositional data

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989592%3A15310%2F11%3A10223752" target="_blank" >RIV/61989592:15310/11:10223752 - isvavai.cz</a>

Result on the web

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DOI - Digital Object Identifier

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Result language

angličtina

Original language name

Robust statistical analysis of compositional data

Original language description

Robust statistical methods are nowadays widely used when one has to deal with data that are affected by artifacts such that classical methods fail. Robust methods allow for certain deviations from a predefined statistical model. Although a lot of work has been devoted to the development of robust statistical methods, their development for compositional data is still at the beginning. One of the reasons was the lack of a regular and isometric transformation from the simplex, the sample space of compositions, to the Euclidean real space. The main task of this contribution is to provide a comprehensive view of robustness for compositional data.

Czech name

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Czech description

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Type

C - Chapter in a specialist book

CEP classification

BB - Applied statistics, operational research

OECD FORD branch

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Project

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Continuities

Z - Vyzkumny zamer (s odkazem do CEZ)

Publication year

2011

Confidentiality

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

Book/collection name

Compositional Data Analysis: Theory and Applications

ISBN

978-0-470-71135-4

Number of pages of the result

14

Pages from-to

59-72

Number of pages of the book

400

Publisher name

Wiley &amp; Sons Ltd.

Place of publication

Chichester

UT code for WoS chapter

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