Models with a Kronecker product covariance structure: estimation and testing
From MaRDI portal
Publication:734557
DOI10.3103/S1066530708040066zbMath1231.62101OpenAlexW2009922756MaRDI QIDQ734557
Dietrich von Rosen, Muni S. Srivastava, Tatjana von Rosen
Publication date: 13 October 2009
Published in: Mathematical Methods of Statistics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.3103/s1066530708040066
likelihood ratio testmaximum likelihood estimatorsrepeated measurementsflip-flop algorithmKronecker product structureintraclass correlation structure
Estimation in multivariate analysis (62H12) Hypothesis testing in multivariate analysis (62H15) Parametric inference under constraints (62F30)
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Cites Work
- Unnamed Item
- Unnamed Item
- On implementation of a test for Kronecker product covariance structure for multivariate repeated measures data
- The likelihood ratio test for a separable covariance matrix
- Estimation of interclass correlations in familial data
- Likelihood ratio tests in curved exponential families with nuisance parameters present only under the alternative
- The mle algorithm for the matrix normal distribution
- Analysis of multivariate repeated measures data with a Kronecker product structured covariance matrix
- General class of covariance structures for two or more repeated factors in longitudinal data analysis
- A generalized multivariate analysis of variance model useful especially for growth curve problems
- Testing Compound Symmetry in a Normal Multivariate Distribution
- Sample Criteria for Testing Equality of Means, Equality of Variances, and Equality of Covariances in a Normal Multivariate Distribution