Keywords
CorrelationMathematicsStatisticsGeometry
Related Publications
A mixture of generalized hyperbolic distributions
Abstract We introduce a mixture of generalized hyperbolic distributions as an alternative to the ubiquitous mixture of Gaussian distributions as well as their near relatives wit...
Combining Mixture Components for Clustering
Model-based clustering consists of fitting a mixture model to data and identifying each cluster with one of its components. Multivariate normal distributions are typically used....
Cluster analysis of heterogeneous rank data
Cluster analysis of ranking data, which occurs in consumer questionnaires, voting forms or other inquiries of preferences, attempts to identify typical groups of rank choices. E...
Mixtures of common <i>t</i>-factor analyzers for clustering high-dimensional microarray data
Abstract Motivation: Mixtures of factor analyzers enable model-based clustering to be undertaken for high-dimensional microarray data, where the number of observations n is smal...
Finite Mixture Models
The important role of finite mixture models in the statistical analysis of data is underscored by the ever-increasing rate at which articles on mixture applications appear in th...
Publication Info
- Year
- 1971
- Type
- article
- Volume
- 20
- Issue
- 3
- Pages
- 74-74
- Citations
- 2451
- Access
- Closed
External Links
Social Impact
Altmetric
PlumX Metrics
Social media, news, blog, policy document mentions
Citation Metrics
2451
OpenAlex
Cite This
JONQUIL BEVAN,
M. G. Kendall
(1971).
Rank Correlation Methods..
Journal of the Royal Statistical Society Series D (The Statistician)
, 20
(3)
, 74-74.
https://doi.org/10.2307/2986801
Identifiers
- DOI
- 10.2307/2986801