Constructing a covariance matrix that yields a specified minimizer and a specified minimum discrepancy function value

DOI10.1007/BF02295424zbMath0760.62058MaRDI QIDQ1205780

Robert Cudeck, Michael W. Browne

Publication date: 1 April 1993

Published in: Psychometrika (Search for Journal in Brave)

zbMATH Keywords

factor analysisperturbation matrixmodel misspecificationcovariance structure analysisMonte Carlo experimentsdiscrepancy functionsnonnormal, ordered categorical variablesnormal theory maximum likelihood

Mathematics Subject Classification ID

Factor analysis and principal components; correspondence analysis (62H25) Applications of statistics to psychology (62P15)

Related Items (2)

Advances in modeling model discrepancy: comment on Wu and Browne ⋮ Creating misspecified models in moment structure analysis

Cites Work

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• On the asymptotic bias of estimators under parameter drift
• A Bayesian alternative to least squares and equal weighting coefficients in regression
• Some approximate tests for repeated measurement designs
• Fitting the factor analysis model

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