On-line analysis of split sediment cores by XRF core scanners has become increasingly
popular in the past decade, because it allows nondestructive extraction of near-continuous …

Compositional count data are discrete vectors representing the numbers of outcomes falling
into any of several mutually exclusive categories. Compositional techniques based on the …

For almost 30years it has been known that compositional (closed) data have special
geometrical properties. In environmental sciences, where the concentration of chemical …

Compositional data are those which contain only relative information. They are parts of
some whole. In most cases they are recorded as closed data, ie data summing to a constant …

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 …

Variability in resource use defines the width of a trophic niche occupied by a population.
Intra-population variability in resource use may occur across hierarchical levels of …

Compositional explanatory variables should not be directly used in a linear regression
model because any inference statistic can become misleading. While various approaches …

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 …

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 …