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Formulas useful for linear regression analysis and related matrix theory it's only formulas but we like them Simo Puntanen, George P.H. Styan, Jarkko Isotalo

Springer Nature - Springer Mathematics and Statistics (R0) eBooks 2013 English International Available online

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Format:
Book
Author/Creator:
Puntanen, Simo
Contributor:
Isotalo, Jarkko
Styan, George Peter Hansbenno
Series:
SpringerBriefs in statistics
Language:
English
Subjects (All):
Regression analysis.
Matrices.
Mathematics--Formulae.
Mathematics.
Regression Analysis.
formulas (algorithms).
Medical Subjects:
Regression Analysis.
Genre:
Mathematical formulae
Physical Description:
1 online resource
Place of Publication:
Berlin London Springer ©2013
Language Note:
English
System Details:
text file
PDF
Summary:
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
Contents:
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
Notes:
Includes index
Print version record
Other Format:
Print version Puntanen, Simo. Formulas useful for linear regression analysis and related matrix theory
ISBN:
9783642329319
3642329314
3642329306
9783642329302
OCLC:
847195940
Access Restriction:
Restricted for use by site license

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