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Bayesian-multiplicative treatment of count zeros in compositional data sets

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989592%3A15310%2F15%3A33155231" target="_blank" >RIV/61989592:15310/15:33155231 - isvavai.cz</a>

  • Result on the web

    <a href="http://dx.doi.org/10.1177/1471082X14535524" target="_blank" >http://dx.doi.org/10.1177/1471082X14535524</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1177/1471082X14535524" target="_blank" >10.1177/1471082X14535524</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Bayesian-multiplicative treatment of count zeros in compositional data sets

  • Original language description

    Compositional count data are discrete vectors representing the numbers of outcomes falling into any of several mutually exclusive categories. Compositional techniques based on the log-ratio methodology are appropriate in those cases where the total sum of the vector elements is not of interest. Such compositional count data sets can contain zero values which are often the result of insufficiently large samples. That is, they refer to unobserved positive values that may have been observed with a larger number of trials or with a different sampling design. Because the log-ratio transformations require data with positive values, any statistical analysis of count compositions must be preceded by a proper replacement of the zeros. A Bayesian-multiplicativetreatment has been proposed for addressing this count zero problem in several case studies. This treatment involves the Dirichlet prior distribution as the conjugate distribution of the multinomial distribution and a multiplicative modifi

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

  • 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)

Others

  • Publication year

    2015

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    Statistical Modelling

  • ISSN

    1471-082X

  • e-ISSN

  • Volume of the periodical

    15

  • Issue of the periodical within the volume

    2

  • Country of publishing house

    GB - UNITED KINGDOM

  • Number of pages

    25

  • Pages from-to

    134-158

  • UT code for WoS article

    000351945300005

  • EID of the result in the Scopus database