TY - GEN
AU - Monahan, John F
TI - Primer on linear models
T2 - Texts in statistical science
SN - 9780367241889
U1 - 519.5
PY - 2008///
CY - Boca Raton
PB - Chapman & Hall
KW - Linear models
KW - Aggregation, Gauss-Markov model
KW - ANOVA
KW - Best linear unbiased estimator
KW - Cell means model
KW - Cochran's theorem
KW - Distributional theory
KW - Eigenvalues
KW - Estimability
KW - First-order autoregressive error models
KW - Graam-Schmid orthonormalization
KW - Hypothesis testing
KW - Pythagorean theorem
KW - Multivariate linear model
KW - Nested model, two way
KW - Orthogonal polynomials
KW - Regression models
KW - Two-sample problem
KW - Unbiased estimators
KW - Zero estimator
N1 - Includes bibliographical references and index
N2 - A Primer on Linear Models presents a unified, thorough, and rigorous development of the theory behind the statistical methodology of regression and analysis of variance (ANOVA). It seamlessly incorporates these concepts using non-full-rank design matrices and emphasizes the exact, finite sample theory supporting common statistical methods. This text enables complete comprehension of the material by taking a general, unifying approach to the theory, fundamentals, and exact results of linear models
ER -