@book{aff594bb162d480ea11f1a63d4dde87a,
title = "Matrix Tricks for Linear Statistical Models: Our Personal Top Twenty",
keywords = "Best linear unbiased estimation, Cauchy--Schwarz inequality, Gauss--Markov model, L\textbackslash{}owner ordering, Schur complement, column space, eigenvalue decomposition, estimability, generalized inverse, idempotent matrix, linear model, linear regression, matrix inequalities, oblique projector, ordinary least squares, orthogonal projector, partitioned linear model, partitioned matrix, rank cancellation rule, reduced linear model, singular value decomposition{"}{"}, Best linear unbiased estimation, Cauchy--Schwarz inequality, Gauss--Markov model, L\textbackslash{}owner ordering, Schur complement, column space, eigenvalue decomposition, estimability, generalized inverse, idempotent matrix, linear model, linear regression, matrix inequalities, oblique projector, ordinary least squares, orthogonal projector, partitioned linear model, partitioned matrix, rank cancellation rule, reduced linear model, singular value decomposition{"}{"}",
author = "Simo Puntanen and Styan, \{George P.H.\} and Jarkko Isotalo",
year = "2011",
language = "English",
isbn = "978-3-642-10472-5",
publisher = "Springer",
}