Two-way ANOVA by using Cholesky decomposition and graphical representation
From MaRDI portal
Publication:5870813
DOI10.15672/hujms.955559OpenAlexW4225246842MaRDI QIDQ5870813
Publication date: 23 January 2023
Published in: Hacettepe Journal of Mathematics and Statistics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.15672/hujms.955559
Factorization of matrices (15A23) Analysis of variance and covariance (ANOVA) (62J10) Linear equations (linear algebraic aspects) (15A06)
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Bayesian Cholesky factor models in random effects covariance matrix for generalized linear mixed models
- ARMA Cholesky factor models for the covariance matrix of linear models
- Objective Bayesian model selection approach to the two way analysis of variance
- Cholesky Decompositions and Estimation of A Covariance Matrix: Orthogonality of Variance Correlation Parameters
- Simultaneous Statistical Inference on Interactions in Two-Way Analysis of Variance
- Least squares computations based on the cholesky decomposition of the correlation matrix
- Computationally efficient cholesky factorization of a covariance matrix with block toeplitz structure
- Linear Models in Statistics
- Two-way fixed effects analysis of variance when the error variances may be unequal
- Modeling the Cholesky factors of covariance matrices of multivariate longitudinal data
This page was built for publication: Two-way ANOVA by using Cholesky decomposition and graphical representation