Discrimination with jointly equicorrelated multi-level multivariate data

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Roy, Anuradha, and Ricardo Leiva. “Discrimination With Jointly Equicorrelated Multi-Level Multivariate Data”. Advances in Data Analysis and Classification, vol. 1, no. 3, 2007, pp. 175-99, https://doi.org/10.1007/s11634-007-0013-0.
Roy, A., & Leiva, R. (2007). Discrimination with jointly equicorrelated multi-level multivariate data. Advances in Data Analysis and Classification, 1(3), 175-199. https://doi.org/10.1007/s11634-007-0013-0
Roy, Anuradha, and Ricardo Leiva. “Discrimination With Jointly Equicorrelated Multi-Level Multivariate Data”. Advances in Data Analysis and Classification 1, no. 3 (2007): 175-99. https://doi.org/10.1007/s11634-007-0013-0.
Roy A, Leiva R. Discrimination with jointly equicorrelated multi-level multivariate data. Advances in Data Analysis and Classification. 2007;1(3):175-99.
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Refrences
Title Journal Journal Categories Citations Publication Date
A new classification rule for incomplete doubly multivariate data using mixed effects model with performance comparisons on the imputed data

 Statistics in Medicine
  • Medicine: Medicine (General): Computer applications to medicine. Medical informatics
  • Science: Biology (General)
  • Medicine: Internal medicine: Special situations and conditions: Industrial medicine. Industrial hygiene
  • Medicine: Medicine (General): Computer applications to medicine. Medical informatics
  • Medicine: Medicine (General)
  • Science: Mathematics: Probabilities. Mathematical statistics
  • Medicine: Medicine (General): Medical technology
  • Medicine: Medicine (General)
  • Social Sciences
 14 2006
On discrimination and classification with multivariate repeated measures data Journal of Statistical Planning and Inference
  • Science: Mathematics: Probabilities. Mathematical statistics
  • Science: Mathematics
 16 2005
Bayesian Object Identification: Variants Journal of Multivariate Analysis
  • Science: Mathematics: Probabilities. Mathematical statistics
  • Social Sciences: Commerce: Business: Accounting. Bookkeeping
  • Social Sciences: Finance
  • Science: Mathematics
 7 2002
Antedependence models in the analysis of multi-group high-dimensional data Journal of Applied Statistics
  • Science: Mathematics: Probabilities. Mathematical statistics
  • Science: Mathematics
 6 1999
An Inverse Matrix Adjustment Arising in Discriminant Analysis The Annals of Mathematical Statistics 214 1951
Refrences Analysis
Category Category Repetition
Science: Mathematics: Probabilities. Mathematical statistics5
Science: Mathematics4
Medicine: Medicine (General): Computer applications to medicine. Medical informatics3
Science: Biology (General)2
Social Sciences: Commerce: Business: Accounting. Bookkeeping2
Social Sciences: Finance2
Medicine: Medicine (General)2
Medicine: Internal medicine: Special situations and conditions: Industrial medicine. Industrial hygiene1
Medicine: Medicine (General): Medical technology1
Social Sciences1
The category Science: Mathematics: Probabilities. Mathematical statistics 5 is the most frequently represented among the references in this article. It primarily includes studies from Journal of Multivariate Analysis The chart below illustrates the number of referenced publications per year.
Refrences used by this article by year
Citations
Title Journal Journal Categories Citations Publication Date
Self Similar Compound Symmetry Covariance Structure Journal of Statistical Theory and Practice
  • Science: Mathematics: Probabilities. Mathematical statistics
 1 2021
Testing the hypothesis of a doubly exchangeable covariance matrix Metrika
  • Science: Mathematics: Probabilities. Mathematical statistics
  • Science: Mathematics
 2 2019
Best unbiased estimates for parameters of three-level multivariate data with doubly exchangeable covariance structure Linear Algebra and its Applications
  • Technology: Technology (General): Industrial engineering. Management engineering: Applied mathematics. Quantitative methods
  • Science: Mathematics
 2 2017
Testing a block exchangeable covariance matrix Statistics
  • Science: Mathematics: Probabilities. Mathematical statistics
  • Science: Mathematics
 10 2017
Supervised classifiers for high-dimensional higher-order data with locally doubly exchangeable covariance structure Communications in Statistics - Theory and Methods
  • Science: Mathematics: Probabilities. Mathematical statistics
  • Science: Mathematics
 2017
Citations Analysis
Category Category Repetition
Science: Mathematics: Probabilities. Mathematical statistics10
Science: Mathematics10
Science: Mathematics: Instruments and machines: Electronic computers. Computer science1
Technology: Technology (General): Industrial engineering. Management engineering: Applied mathematics. Quantitative methods1
The category Science: Mathematics: Probabilities. Mathematical statistics 10 is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled Classification rules for triply multivariate data with an AR(1) correlation structure on the repeated measures over time and was published in 2009. The most recent citation comes from a 2021 study titled Self Similar Compound Symmetry Covariance Structure. This article reached its peak citation in 2017, with 3 citations. It has been cited in 8 different journals. Among related journals, the Communications in Statistics - Theory and Methods cited this research the most, with 4 citations. The chart below illustrates the annual citation trends for this article.
Citations used this article by year