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＜E-Book＞
Formulas Useful for Linear Regression Analysis and Related Matrix Theory : It's Only Formulas But We Like Them / by Simo Puntanen, George P. H. Styan, Jarkko Isotalo
(SpringerBriefs in Statistics. ISSN:21915458)

Edition	1st ed. 2013.
Publisher	Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer
Year	2013
Language	English
Size	XII, 125 p. 3 illus., 2 illus. in color : online resource
Authors	*Puntanen, Simo author Styan, George P. H author Isotalo, Jarkko author SpringerLink (Online service)
Subjects	LCSH:Statistics  LCSH:Algebras, Linear LCSH:Econometrics FREE:Statistical Theory and Methods FREE:Linear Algebra FREE:Econometrics FREE:Statistics in Business, Management, Economics, Finance, Insurance
Notes	The Model Matrix -- Fitted Values and Residuals -- Regression Coefficients -- Alternative Estimators -- Decompositions of Sums of Squares -- Partial Correlations -- Distributions -- Testing Hypotheses -- Diagnostics -- BLUE: Some Helpful Identities -- Estimability -- Best Linear Unbiased Estimator -- The Watson Efficiency -- Linear Sufficiency and Admissibility -- Best Linear Unbiased Predictor -- Mixed Model -- Multivariate Linear Model -- Inverse of a Partitioned Matrix -- Generalized Inverses -- Projectors -- Eigenvalues -- Discriminant Analysis -- Factor Analysis -- Canonical Correlations -- Matrix Decompositions -- Principal Component Analysis -- Löwner Ordering -- Rank Rules -- Inequalities -- Kronecker Product -- Matrix Derivatives This is an unusual book because it contains a great deal of formulas. Hence it is a blend of monograph, textbook, and handbook. It is intended for students and researchers who need quick access to useful formulas appearing in the linear regression model and related matrix theory. This is not a regular textbook - this is supporting material for courses given in linear statistical models. Such courses are extremely common at universities with quantitative statistical analysis programs HTTP:URL=https://doi.org/10.1007/978-3-642-32931-9

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