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Formulas Useful for Linear Regression Analysis and Related Matrix Theory

It's Only Formulas But We Like Them

Specificaties
Paperback, 125 blz. | Engels
Springer Berlin Heidelberg | 2013e druk, 2013
ISBN13: 9783642329302
Rubricering
Springer Berlin Heidelberg 2013e druk, 2013 9783642329302
Onderdeel van serie SpringerBriefs in Statistics
Verwachte levertijd ongeveer 9 werkdagen

Samenvatting

​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.

Specificaties

ISBN13:9783642329302
Taal:Engels
Bindwijze:paperback
Aantal pagina's:125
Uitgever:Springer Berlin Heidelberg
Druk:2013

Inhoudsopgave

<p>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.</p>

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        Formulas Useful for Linear Regression Analysis and Related Matrix Theory