Interval Compositional Data: Problems and Possibilities

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989592%3A15310%2F15%3A33151356" target="_blank" >RIV/61989592:15310/15:33151356 - isvavai.cz</a>

Výsledek na webu

<a href="http://dx.doi.org/10.1007/978-3-319-10765-3_4" target="_blank" >http://dx.doi.org/10.1007/978-3-319-10765-3_4</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/978-3-319-10765-3_4" target="_blank" >10.1007/978-3-319-10765-3_4</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Interval Compositional Data: Problems and Possibilities

Popis výsledku v původním jazyce

In statistics, compositional data are defined as multivariate observations that quantitatively describe contributions of parts on a whole, carrying exclusively relative information. As a consequence, compositions can be represented as proportions or percentages without loss of information (contained in ratios between parts). Nevertheless, in the practice parts of compositional data are frequently formed by intervals; for example, concentrations of chemical elements are provided not as exact numbers, butrather in an interval range. Intuitively, a natural question arises, whether the relative information is preserved, when the original compositional data with interval-valued parts are represented in proportions. Namely, from the arithmetic properties ofinterval data, normalizing of intervals does not simply follow the case of real values, but a special procedure according to constrained interval arithmetic is needed. The aim of the contribution is to discuss possibilities of representi

Název v anglickém jazyce

Interval Compositional Data: Problems and Possibilities

Popis výsledku anglicky

In statistics, compositional data are defined as multivariate observations that quantitatively describe contributions of parts on a whole, carrying exclusively relative information. As a consequence, compositions can be represented as proportions or percentages without loss of information (contained in ratios between parts). Nevertheless, in the practice parts of compositional data are frequently formed by intervals; for example, concentrations of chemical elements are provided not as exact numbers, butrather in an interval range. Intuitively, a natural question arises, whether the relative information is preserved, when the original compositional data with interval-valued parts are represented in proportions. Namely, from the arithmetic properties ofinterval data, normalizing of intervals does not simply follow the case of real values, but a special procedure according to constrained interval arithmetic is needed. The aim of the contribution is to discuss possibilities of representi

Druh

C - Kapitola v odborné knize

CEP obor

BB - Aplikovaná statistika, operační výzkum

OECD FORD obor

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Projekt

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Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2015

Kód důvěrnosti údajů

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

Název knihy nebo sborníku

Strengthening Links Between Data Analysis and Soft Computing

ISBN

978-3-319-10764-6

Počet stran výsledku

8

Strana od-do

29-36

Počet stran knihy

294

Název nakladatele

Springer

Místo vydání

Heidelberg

Kód UT WoS kapitoly

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