K Hron, M Templ, P Filzmoser - Computational Statistics & Data Analysis, 2010 - Elsevier
New imputation algorithms for estimating missing values in compositional data are introduced. A first proposal uses the k-nearest neighbor procedure based on the Aitchison …
The log-ratio methodology represents a powerful set of methods and techniques for statistical analysis of compositional data. These techniques may be used for the estimation …
Geochemical data are typically reported as compositions, in the form of some proportions such as weight percents, parts per million, etc., subject to a constant sum (eg 100 …
MA Engle, EL Rowan - International Journal of Coal Geology, 2014 - Elsevier
Multivariate compositional data analysis methods were used to investigate geochemical data for water injected during hydraulic fracturing and for water produced from 19 Marcellus …
This paper serves two goals. The first part shows how mass evolution processes of different nature become undistinguishable once we take a size-limited, noisy sample of its …
Abstract Based on its Permian‐Triassic stratigraphic and biotic evolution, we correlate the SE Pamir to the Karakoram terrane, and we consider them equivalent, along with the Central …
Intramuscular fat (IMF) content and fatty acid composition affect the organoleptic quality and nutritional value of pork. A genome-wide association study was performed on 138 Duroc …
E Fišerová, K Hron - Mathematical Geosciences, 2011 - Springer
The simplex with the Aitchison geometry is a natural sample space for compositional data, that is, observations carrying only relative information (especially proportions, percentages …
This article describes a study that sought to identify the correlation between social entrepreneurship and complex thinking competencies in a population of Mexican students …