Single Sample Cross-Validation Indices for Covariance Structures.
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Summary
This article considers single sample approximations for the cross-validation coefficient in the analysis of covariance structures and suggests an adjustment for predictive validity which may be employed in conjunction with any correctly specified discrepancy function.
- Type
- article
- Published
- 1989-10-01
- Cited by
- 1,784
- References
- 11
- OpenAlex
- https://openalex.org/W1983098731
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:5239117
Keywords
Akaike information criterion, Covariance, Statistics, Mathematics, Normality
References
- The Predictive Sample Reuse Method with Applications
- A class of factor analysis estimation procedures with common asymptotic sampling properties
- Cross-Validation Of Covariance Structures.
- A COMPARISON OF SINGLE SAMPLE AND CROSS‐VALIDATION METHODS FOR ESTIMATING THE MEAN SQUARED ERROR OF PREDICTION IN MULTIPLE LINEAR REGRESSION
- I. Problems and Designs of Cross-Validation 1
- On the multivariate asymptotic distribution of sequential Chi-square statistics
- PREDICTIVE VALIDITY OF A LINEAR REGRESSION EQUATION
- Cross‐Validatory Choice and Assessment of Statistical Predictions
- Estimating the Dimension of a Model
- Asymptotically distribution-free methods for the analysis of covariance structures.
- Information Theory and an Extension of the Maximum Likelihood Principle
- Cross-Validatory Choice and Assessment of Statistical Predictions (With Discussion)
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