Hypothesis Testing for Independence Under Blocked Compound Symmetric Covariance Structure

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Cite
Tsukada, Shin-ichi. “Hypothesis Testing for Independence Under Blocked Compound Symmetric Covariance Structure”. Communications in Mathematics and Statistics, vol. 6, no. 2, 2018, pp. 163-84, https://doi.org/10.1007/s40304-018-0130-4.
Tsukada, S.- ichi. (2018). Hypothesis Testing for Independence Under Blocked Compound Symmetric Covariance Structure. Communications in Mathematics and Statistics, 6(2), 163-184. https://doi.org/10.1007/s40304-018-0130-4
Tsukada, Shin-ichi. “Hypothesis Testing for Independence Under Blocked Compound Symmetric Covariance Structure”. Communications in Mathematics and Statistics 6, no. 2 (2018): 163-84. https://doi.org/10.1007/s40304-018-0130-4.
Tsukada S ichi. Hypothesis Testing for Independence Under Blocked Compound Symmetric Covariance Structure. Communications in Mathematics and Statistics. 2018;6(2):163-84.
Journal Category
Science
Mathematics
Refrences
Title Journal Journal Categories Citations Publication Date
Testing the hypothesis of a block compound symmetric covariance matrix for elliptically contoured distributions TEST
  • Science: Mathematics: Probabilities. Mathematical statistics
  • Science: Mathematics
11 2017
Optimal estimation for doubly multivariate data in blocked compound symmetric covariance structure Journal of Multivariate Analysis
  • Science: Mathematics: Probabilities. Mathematical statistics
  • Social Sciences: Commerce: Business: Accounting. Bookkeeping
  • Social Sciences: Finance
  • Science: Mathematics
15 2016
Testing the equality of mean vectors for paired doubly multivariate observations in blocked compound symmetric covariance matrix setup Journal of Multivariate Analysis
  • Science: Mathematics: Probabilities. Mathematical statistics
  • Social Sciences: Commerce: Business: Accounting. Bookkeeping
  • Social Sciences: Finance
  • Science: Mathematics
16 2015
Estimating and Testing a Structured Covariance Matrix for Three-Level Multivariate Data Communications in Statistics - Theory and Methods
  • Science: Mathematics: Probabilities. Mathematical statistics
  • Science: Mathematics
26 2011
Linear discrimination with equicorrelated training vectors Journal of Multivariate Analysis
  • Science: Mathematics: Probabilities. Mathematical statistics
  • Social Sciences: Commerce: Business: Accounting. Bookkeeping
  • Social Sciences: Finance
  • Science: Mathematics
26 2007
Refrences Analysis
The category Science: Mathematics: Probabilities. Mathematical statistics 3 is the most frequently represented among the references in this article. It primarily includes studies from TEST and Journal of the American Statistical Association. 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
Hypothesis Testing for Independence given a Blocked Compound Symmetric Covariance Structure in a High-Dimensional Setting Journal of Statistical Theory and Practice
  • Science: Mathematics: Probabilities. Mathematical statistics
2023
Testing independence under a block compound symmetry covariance structure Statistical Papers
  • Science: Mathematics: Probabilities. Mathematical statistics
  • Science: Mathematics
3 2022
Linear models for multivariate repeated measures data with block exchangeable covariance structure Computational Statistics
  • Science: Mathematics: Probabilities. Mathematical statistics
  • Science: Mathematics
3 2021
Score Tests for Intercept and Slope Parameters of Doubly Multivariate Linear Models with Skew-Normal Errors Journal of Statistical Theory and Practice
  • Science: Mathematics: Probabilities. Mathematical statistics
2 2021
Doubly multivariate linear models with block exchangeable distributed errors and site-dependent covariates Journal of Applied Statistics
  • Science: Mathematics: Probabilities. Mathematical statistics
  • Science: Mathematics
2021
Citations Analysis
The category Science: Mathematics: Probabilities. Mathematical statistics 6 is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled Doubly multivariate linear models with block exchangeable distributed errors and site-dependent covariates and was published in 2021. The most recent citation comes from a 2023 study titled Hypothesis Testing for Independence given a Blocked Compound Symmetric Covariance Structure in a High-Dimensional Setting. This article reached its peak citation in 2021, with 4 citations. It has been cited in 5 different journals. Among related journals, the Journal of Statistical Theory and Practice cited this research the most, with 2 citations. The chart below illustrates the annual citation trends for this article.
Citations used this article by year