Perils of parsimony: properties of reduced-rank estimates of genetic covariance matrices.

doi:10.1534/genetics.108.090159

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Article

Perils of parsimony: properties of reduced-rank estimates of genetic covariance matrices.

Genetics - 1 Oct 2008

Meyer Karin, Kirkpatrick Mark

Abstract excerpt

Eigenvalues and eigenvectors of covariance matrices are important statistics for multivariate problems in many applications, including quantitative genetics. Estimates of these quantities are subject to different types of bias. This article reviews and extends the existing theory on these biases, considering a balanced one-way classification and restricted maximum-likelihood estimation. Biases are due to the...

Topics

Analysis of Variance
Bias
Computer Simulation
Genetic Variation
Models, Genetic
Sample Size

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Identifiers

PMID: 18757923
DOI: 10.1534/genetics.108.090159
PMCID: PMC2567364

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