Structural equation modeling with near singular covariance matrices
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Publication:1023844
DOI10.1016/j.csda.2008.03.030zbMath1452.62427OpenAlexW2063563610MaRDI QIDQ1023844
Publication date: 16 June 2009
Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.csda.2008.03.030
Computational methods for problems pertaining to statistics (62-08) Factor analysis and principal components; correspondence analysis (62H25) Estimation in multivariate analysis (62H12)
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Cites Work
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- A well-conditioned estimator for large-dimensional covariance matrices
- A unified approach to exploratory factor analysis with missing data, nonnormal data, and in the presence of outliers
- Normal theory likelihood ratio statistic for mean and covariance structure analysis under alternative hypotheses
- Bootstrap tests and confidence regions for functions of a covariance matrix
- A study of algorithms for covariance structure analysis with specific comparisons using factor analysis
- Empirical Bayes estimation of the multivariate normal covariance matrix
- Maximum entropy measurement error estimates of singular covariance matrices in undersized samples
- A class of factor analysis estimation procedures with common asymptotic sampling properties
- Improving parameter tests in covariance structure analysis
- Application of the bootstrap methods in factor analysis
- Synthesis of variance
- Empirical Bayes Confidence Intervals Based on Bootstrap Samples
- Prepivoting Test Statistics: A Bootstrap View of Asymptotic Refinements
- Mean and Covariance Structure Analysis: Theoretical and Practical Improvements
- Solving Nonlinear Equations with Newton's Method
- Stabilizing bootstrap‐t confidence intervals for small samples
- Asymptotically distribution‐free methods for the analysis of covariance structures
- Ridge Regression: Biased Estimation for Nonorthogonal Problems
- Some Theorems on Quadratic Forms Applied in the Study of Analysis of Variance Problems, I. Effect of Inequality of Variance in the One-Way Classification
- Structural Equation Modeling