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
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Czech description
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Classification
Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
BA - General mathematics
OECD FORD branch
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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
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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
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