Structural equation modeling with heavy tailed distributions
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Publication:2259998
DOI10.1007/BF02295644zbMath1306.62521OpenAlexW1969502906MaRDI QIDQ2259998
Ke-Hai Yuan, Wai Chan, Peter M. Bentler
Publication date: 5 March 2015
Published in: Psychometrika (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/bf02295644
Related Items (5)
Comparing latent means without mean structure models: a projection-based approach ⋮ A logistic \(L\)-moment-based analog for the Tukey \(g-h\), \(g\), \(h\), and \(h-h\) system of distributions ⋮ Bayesian growth curve models with the generalized error distribution ⋮ Robust structural equation modeling with missing data and auxiliary variables ⋮ Expectation-robust algorithm and estimating equations for means and dispersion matrix with missing data
Uses Software
Cites Work
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- On the relation between S-estimators and M-estimators of multivariate location and covariance
- Bootstrap tests and confidence regions for functions of a covariance matrix
- Robust m-estimators of multivariate location and scatter
- Bootstrap methods: another look at the jackknife
- Improved feasible solution algorithms for high breakdown estimation.
- Robust covariance estimates based on resampling
- Finite mixtures in confirmatory factor-analysis models
- A note on breakdown theory for bootstrap methods
- Breakdown theory for bootstrap quantiles
- Mixtures of conditional mean- and covariance-structure models
- Robustness and efficiency properties of scatter matrices
- Analysis of Covariance Structures Under Elliptical Distributions
- Asymptotic distributions in canonical correlation analysis and other multivariate procedures for nonnormal populations
- Robust Estimation of Dispersion Matrices and Principal Components
- Robust Procedures in Multivariate Analysis I: Robust Covariance Estimation
- Robust Procedures in Multivariate Analysis II. Robust Canonical Variate Analysis
- Radial estimates and the test for sphericity
- The Influence Curve and Its Role in Robust Estimation
- Computable Robust Estimation of Multivariate Location and Shape in High Dimension Using Compound Estimators
- Statistical Inference Based on Pseudo-Maximum Likelihood Estimators in Elliptical Populations
- Asymptotically distribution‐free methods for the analysis of covariance structures
- Measures of multivariate skewness and kurtosis with applications
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