Testing and estimation when a normal covariance matrix has intraclass structure of arbitrary order
From MaRDI portal
Publication:4403180
DOI10.1080/03610927408827137zbMath0276.62055OpenAlexW2085172214MaRDI QIDQ4403180
No author found.
Publication date: 1974
Published in: Communications in Statistics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/03610927408827137
Hypothesis testing in multivariate analysis (62H15) Measures of association (correlation, canonical correlation, etc.) (62H20)
Related Items (5)
Optimal estimation for doubly multivariate data in blocked compound symmetric covariance structure ⋮ Explicit maximum likelihood estimators for certain patterned covariance matrices ⋮ Asymptotic normality and moderate deviation principle for high-dimensional likelihood ratio statistic on block compound symmetry covariance structure ⋮ Likelihood ratio tests for covariance hypotheses generating commutative quadratic subspaces ⋮ Testing the equality of mean vectors for paired doubly multivariate observations in blocked compound symmetric covariance matrix setup
This page was built for publication: Testing and estimation when a normal covariance matrix has intraclass structure of arbitrary order