Agricultural and Biological Sciences
8 years ago
New method for estimating variance components in linear models revolutionizes data analysis.
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Paper Summary
The article discusses how to estimate variance components in linear models using a quadratic approach. The researchers use a coordinate-free method to explain the theory and apply it to general linear regression models. They also explore the admissibility of quadratic estimates in mixed linear models with two variance components.