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A note on deletion diagnostics for estimating equations
by
Qaqish, Bahjat F.
, Preisser, John S.
, Perin, Jamie
in
Algorithms
/ Approximation
/ Correlations
/ Covariance matrices
/ Decomposition
/ Diagnostics
/ Estimating techniques
/ Generalized estimating equation
/ Influence
/ Least squares
/ Matrices
/ Matrix inversion
/ Miscellanea
/ One-step approximation
/ Regression analysis
/ Regression diagnostic
/ Studies
2008
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A note on deletion diagnostics for estimating equations
by
Qaqish, Bahjat F.
, Preisser, John S.
, Perin, Jamie
in
Algorithms
/ Approximation
/ Correlations
/ Covariance matrices
/ Decomposition
/ Diagnostics
/ Estimating techniques
/ Generalized estimating equation
/ Influence
/ Least squares
/ Matrices
/ Matrix inversion
/ Miscellanea
/ One-step approximation
/ Regression analysis
/ Regression diagnostic
/ Studies
2008
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Do you wish to request the book?
A note on deletion diagnostics for estimating equations
by
Qaqish, Bahjat F.
, Preisser, John S.
, Perin, Jamie
in
Algorithms
/ Approximation
/ Correlations
/ Covariance matrices
/ Decomposition
/ Diagnostics
/ Estimating techniques
/ Generalized estimating equation
/ Influence
/ Least squares
/ Matrices
/ Matrix inversion
/ Miscellanea
/ One-step approximation
/ Regression analysis
/ Regression diagnostic
/ Studies
2008
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Journal Article
A note on deletion diagnostics for estimating equations
2008
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Overview
We describe an algorithm based upon the Sherman-Morrison-Woodbury formula for the inversion of matrices with special structure that occur in formulae for deletion diagnostics. Substantial computational savings relative to a method based upon Cholesky's decomposition are illustrated. The result has broad application to regression diagnostics for clustered data.
Publisher
Oxford University Press,Biometrika Trust, University College London,Oxford University Press for Biometrika Trust,Oxford Publishing Limited (England)
Subject
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