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Modeling asymmetric compositional data
Compositional data belong to the simplex sample space, but they are transformed to the sample space of the real numbers using the additive log-ratio transformation to allow the application of standard statistical techniques.
Ana Beatriz Tozzo Martins +4 more
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Variation in Rumen Bacteria of Lacaune Dairy Ewes From One Week to the Next
Bacteria are the most abundant microorganisms in the rumen microbiota and play essential roles, mainly fermenting plant compounds that yield fatty acids. In this study, we aimed at assessing stability of both bacterial composition and of its associations
Solène Fresco +3 more
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Background: Ternary plots can effectively display compositional data and help to understand its multidimensional patterns. However, they are currently greatly underused in demography.
Beata Nowok
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Compositional Data Modeling through Dirichlet Innovations
The Dirichlet distribution is a well-known candidate in modeling compositional data sets. However, in the presence of outliers, the Dirichlet distribution fails to model such data sets, making other model extensions necessary.
Seitebaleng Makgai +2 more
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This is the raw data for article "Coal elemental (compositional) data analysis with hierarchical clustering algorithms", from Adaohai and Datanhao coals, Daqingshan Coalfield, Inner Mongolia ...
Xu, C (via Mendeley Data) +2 more
core +1 more source
CRFA-CRBM: a hybrid technique for anomaly recognition in regional geochemical exploration; case study: Dehsalm area, east of Iran [PDF]
Identification of geochemical anomalies is a significant step during regional geochemical exploration. In this matter, new techniques have been developed based on deep learning networks.
Ahmad Aryafar +2 more
doaj +1 more source
This research investigates the traffic share evolution of the container throughput in the Mediterranean ports from 2000 to 2015 considering hierarchical clustering and concentration indexes.
Manel Grifoll +2 more
doaj +1 more source
Spatial analysis of compositional data : a historical review [PDF]
Like the statistical analysis of compositional data in general, spatial analysis of compositional data requires specific tools. A historical overview of their development is presented in three steps: (a) the recognition of the problem, known as spurious ...
Egozcue, Juan José +2 more
core +1 more source
jolespin/compositional: compositional_v2020.12.16
Compositional data analysis in ...
Josh L. Espinoza
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Uncertainty assessment is an essential part of modeling and mapping the spatial variability of key soil properties, such as texture. The study aimed to compare sequential Gaussian simulation (SGS) and turning bands simulation (TBS) for assessing the ...
Gabriele Buttafuoco
doaj +1 more source

