Journal ArticleDOI
The Statistical Analysis of Compositional Data
M. C. Jones,John Aitchison +1 more
- Vol. 150, Iss: 4, pp 396-396
About:
The article was published on 1987-07-01. It has received 4051 citations till now. The article focuses on the topics: Compositional data.read more
Citations
More filters
Journal ArticleDOI
Quantitative analysis of detrital modes: statistically rigorous confidence regions in ternary diagrams and their use in sedimentary petrology
Gert Jan Weltje,Gert Jan Weltje +1 more
TL;DR: A review of existing methods reveals a number of fundamental statistical problems associated with the use of univariate statistics and the construction of so-called hexagonal fields of compositional variation, and it is shown that these problems can be overcome by using multivariate methods that honour the non-negativity and unit-sum constraints on compositional data, and incorporate the covariance structure as mentioned in this paper.
Journal ArticleDOI
Tectonic Discrimination of Basic and Ultrabasic Volcanic Rocks through Log-Transformed Ratios of Immobile Trace Elements
TL;DR: In this paper, the authors presented new discriminant function diagrams based on immobile trace elements and log-ratio transformation of the data of basic and ultrabasic rocks.
Journal ArticleDOI
Internal validity and reliability of kolb's learning style inventory version 3 (1999)
TL;DR: This article explored the internal validity and reliability of Kolb's revised Learning Style Inventory (LSI-2A and LSI-3) in a sample of 221 graduate and undergraduate business students.
Journal ArticleDOI
Variable selection for sparse dirichlet-multinomial regression with an application to microbiome data analysis.
Jun Chen,Hongzhe Li +1 more
TL;DR: The sparse DM regression model can result in better identification of the microbiome-associated covariates than models that ignore overdispersion or only consider the proportions, and is demonstrated in an analysis of a data set evaluating the effects of nutrient intake on human gut microbiome composition.
Journal ArticleDOI
Generalized joint attribute modeling for biodiversity analysis: median-zero, multivariate, multifarious data
TL;DR: A generalized joint attribute model (GJAM) is developed, a probabilistic framework that readily applies to data that are combinations of presence-absence, ordinal, continuous, discrete, composition, zero-inflated, and censored, and it shows that the environment can be inverse predicted from the joint distribution of species.
References
More filters
Book
Problems of relative growth
TL;DR: This detailed study of the different rates of growth of parts of the body relative to the body as a whole represents Sir Julian Huxley's great contribution to analytical morphology, and it is still a basis for modern investigations in morphometrics and evolutionary biology.
Book
Experiments with Mixtures: Designs, Models and the Analysis of Mixture Data
TL;DR: In this paper, the original Mixture Problem is described and models for exploring the Entire Simplex Factor Space are presented, including matrix algebra, least squares, and the analysis of variance.
New statistical methods for allometry with application to
TL;DR: In this paper, Mosimann et al. presented new statistical methods for the study of size and shape, and used these methods to study the morphology of red-winged blackbirds, Agelaius phoeniceus breeding in Florida.
Journal ArticleDOI
Analysis of dispersion on a sphere
TL;DR: In this article, a series of approximate tests of significance is given for hypotheses about the precision constant K and the polar vector on a sphere, where 8' is the angle between the polar and observation vectors.