Journal of the Royal Statistical Society. Series D (The Statistician), Vol. 48, No. 4 (1999), pp. 477-493 (17 pages) Many papers have addressed the problem of fitting a straight line to a set of ...
This is a preview. Log in through your library . Abstract In this note the method of MINQUE is outlined to estimate the variances and covariances in a linear regression model and is used to estimate ...
The previous method may be more familiar to statisticians when different notation is used. A linear model is usually written The following example illustrates the programming techniques involved in ...
"First edition published in 2006." 1. Introduction -- What are linear mixed models (LMMs)? -- Models with random effects for clustered data -- Models for longitudinal or repeated-measures data -- A ...
This section provides an overview of a likelihood-based approach to general linear mixed models. This approach simplifies and unifies many common statistical analyses, including those involving ...
Given the drawbacks of implementing multivariate analysis for mapping multiple traits in genome-wide association study (GWAS), principal component analysis (PCA) has been widely used to generate ...
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