The Cgmanova Model
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Publication:4226915
DOI10.1080/03610929708831969zbMath0920.62075OpenAlexW2090422730MaRDI QIDQ4226915
Publication date: 21 September 1999
Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/03610929708831969
growth curve modelseemingly unrelated regressionmultiple design multivariate modelsum-of-profiles model
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Confidence ellipsoids for the primary regression coefficients in two seemingly unrelated regression models ⋮ Estimation of the parameters of the extended growth curve model under multivariate skew normal distribution
Cites Work
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- Maximum likelihood estimators in multivariate linear normal models
- On the Analysis of Repeated-Measurements Experiments
- A Nonlinear Version of the Gauss-Markov Theorem
- Analysis of repeated measures designs with changing covariates in clinical trials
- Analysis of repeated measures designs with changing covariates
- An extension of the growth curve model
- Extended linear hypotheses and simultaneous tests in multivariate analysis of variance
- Equivalence of maximum likelihood estimation and iterative two-stage estimation for seemingly unrelated regression models
- A mixture of the manova and gmanova models
- Estimators for Seemingly Unrelated Regression Equations: Some Exact Finite Sample Results
- A generalized multivariate analysis of variance model useful especially for growth curve problems
- An Efficient Method of Estimating Seemingly Unrelated Regressions and Tests for Aggregation Bias
- A Generalization of the GMANOVA‐Model
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