A multivariate variance components model for analysis of covariance in designed experiments
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Publication:903280
DOI10.1214/09-STS294zbMath1328.62490arXiv1001.3011MaRDI QIDQ903280
Martin T. Wells, James G. Booth, Russell D. Wolfinger, Walter T. Federer
Publication date: 5 January 2016
Published in: Statistical Science (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1001.3011
Factor analysis and principal components; correspondence analysis (62H25) Statistical block designs (62K10) Analysis of variance and covariance (ANOVA) (62J10)
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Cites Work
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- A conversation with Shayle R. Searle
- On the theory of elliptically contoured distributions
- Analysis of variance -- why it is more important than ever. (With discussions and rejoinder)
- Matrix Methods in Components of Variance and Covariance Analysis
- A Biometrics Invited Paper with Discussion. Some Aspects of Analysis of Covariance
- Separating Between- and Within-Cluster Covariate Effects by Using Conditional and Partitioning Methods
- Between- and Within-Cluster Covariate Effects in the Analysis of Clustered Data
- An Empirical Comparison of Several Clustered Data Approaches Under Confounding Due to Cluster Effects in the Analysis of Complications of Coronary Angioplasty