Journal ArticleDOI
The Statistical Analysis of Compositional Data
M. C. Jones,John Aitchison +1 more
- Vol. 150, Iss: 4, pp 396-396
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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
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Model averaging and muddled multimodel inferences
TL;DR: Three flawed practices associated with model averaging coefficients for predictor variables in regression models commonly occur when making multimodel inferences in analyses of ecological data and ought to be discontinued if the authors are to make effective scientific contributions to ecological knowledge and conservation of natural resources.
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National, regional, and global rates and trends in contraceptive prevalence and unmet need for family planning between 1990 and 2015: a systematic and comprehensive analysis
TL;DR: Trends in contraceptive prevalence and unmet need for family planning, and the projected growth in the number of potential contraceptive users indicate that increased investment is necessary to meet demand for contraceptive methods and improve reproductive health worldwide.
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Regression analysis of variates observed on (0, 1): percentages, proportions and fractions
TL;DR: In this paper, the authors identify four distributional categories into which such data can be put, and focus on regression models for the first category, for proportions observed on the open interval (0, 1).
Journal ArticleDOI
End-member modeling of compositional data: Numerical-statistical algorithms for solving the explicit mixing problem
TL;DR: In this article, a new iterative strategy for solving the bilinear unmixing problem is developed, which is based on the trade-off between mathematical and geological feasibility, and has better convergence properties than previously proposed numerical schemes.
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A model of text for experimentation in the social sciences
TL;DR: A hierarchical mixed membership model for analyzing topical content of documents, in which mixing weights are parameterized by observed covariates is posit, enabling researchers to introduce elements of the experimental design that informed document collection into the model, within a generally applicable framework.
References
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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.