The estimation of variance-covariance and correlation matrices from incomplete data
- 1 December 1970
- journal article
- Published by Springer Science and Business Media LLC in Psychometrika
- Vol. 35 (4), 417-437
- https://doi.org/10.1007/bf02291818
Abstract
No abstract availableKeywords
This publication has 13 references indexed in Scilit:
- Missing Values in Linear Multiple Discriminant AnalysisPublished by JSTOR ,1968
- A Measure of the Average IntercorrelationEducational and Psychological Measurement, 1968
- Linear Regression Analysis with Missing Observations among the Independent VariablesJournal of the American Statistical Association, 1964
- Maximum Likelihood Estimation with Incomplete Multivariate DataThe Annals of Mathematical Statistics, 1964
- Sample and population score matrices and sample correlation matrices from an arbitrary population correlation matrixPsychometrika, 1962
- Estimation of Parameters from Incomplete Multivariate SamplesJournal of the American Statistical Association, 1957
- Maximum Likelihood Estimates for a Multivariate Normal Distribution when Some Observations are MissingJournal of the American Statistical Association, 1957
- Multiple Regression with Missing Observations Among the Independent VariablesJournal of the American Statistical Association, 1956
- Equating test scores—A maximum likelihood solutionPsychometrika, 1955
- Estimation of Parameters from Incomplete DataJournal of the American Statistical Association, 1955