Her scientific interests lie mostly in Ecology, Multivariate statistics, Statistics, Linear model and Resampling. Her Ecology research is multidisciplinary, incorporating elements of Neutral theory of molecular evolution and Spatial variability. Her work carried out in the field of Multivariate statistics brings together such families of science as Multivariate analysis, Canonical analysis, Multidimensional scaling, Distance matrix and Community structure.
Marti J. Anderson works mostly in the field of Linear model, limiting it down to topics relating to Statistical hypothesis testing and, in certain cases, Nonparametric statistics. The various areas that Marti J. Anderson examines in her Resampling study include Analysis of variance and Permutation. She focuses mostly in the field of Multivariate analysis of variance, narrowing it down to topics relating to Univariate and, in certain cases, Statistic.
Ecology, Biodiversity, Multivariate statistics, Species richness and Statistics are her primary areas of study. Ecology is a component of her Community structure, Abundance, Habitat, Estuary and Beta diversity studies. Marti J. Anderson usually deals with Biodiversity and limits it to topics linked to Spatial ecology and Relative species abundance.
Her work deals with themes such as Multivariate analysis of variance, Multivariate analysis, Distance matrix and Canonical analysis, which intersect with Multivariate statistics. Her Species richness study also includes fields such as
Her primary areas of study are Ecology, Biodiversity, Control chart, Species richness and Marine reserve. When carried out as part of a general Ecology research project, her work on Beta diversity, Food web and Marine biodiversity is frequently linked to work in Trait, therefore connecting diverse disciplines of study. Her study in the fields of Alpha diversity under the domain of Biodiversity overlaps with other disciplines such as Energy gradient.
Her Species richness research integrates issues from Abundance, Gadus, Intraspecific competition and Competition. She combines subjects such as Social psychology, Oceanography and Spatial distribution with her study of Marine reserve. Her study in Statistics focuses on Multivariate statistics in particular.
Marti J. Anderson spends much of her time researching Control chart, Marine reserve, Ecology, Moving average and Chart. Marti J. Anderson incorporates a variety of subjects into her writings, including Control chart, Statistics and Multivariate statistics. In her work, Marti J. Anderson performs multidisciplinary research in Multivariate statistics and Centroid.
Her biological study spans a wide range of topics, including Spatial ecology, Marine protected area and Social psychology. The Ecology study combines topics in areas such as Probability distribution and Copula. Her Moving average research is multidisciplinary, incorporating elements of Algorithm and Regression estimator.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
A new method for non-parametric multivariate analysis of variance
Austral Ecology (2001)
PERMANOVA+ for PRIMER. Guide to software and statistical methods
Marti J. Anderson;Ray N. Gorley;Kelsey S. Clarke;Mary Anderson.
FITTING MULTIVARIATE MODELS TO COMMUNITY DATA: A COMMENT ON DISTANCE‐BASED REDUNDANCY ANALYSIS
Distance-based tests for homogeneity of multivariate dispersions.
CANONICAL ANALYSIS OF PRINCIPAL COORDINATES: A USEFUL METHOD OF CONSTRAINED ORDINATION FOR ECOLOGY
DISTANCE‐BASED REDUNDANCY ANALYSIS: TESTING MULTISPECIES RESPONSES IN MULTIFACTORIAL ECOLOGICAL EXPERIMENTS
Ecological Monographs (1999)
Navigating the multiple meanings of β diversity: a roadmap for the practicing ecologist
Ecology Letters (2011)
Multivariate dispersion as a measure of beta diversity.
Ecology Letters (2006)
Permutation tests for univariate or multivariate analysis of variance and regression
Canadian Journal of Fisheries and Aquatic Sciences (2001)
PERMANOVA, ANOSIM, and the Mantel test in the face of heterogeneous dispersions: What null hypothesis are you testing?
Ecological Monographs (2013)
If you think any of the details on this page are incorrect, let us know.
We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below: