Robust statistics for test-of-independence and related structural models
DOI10.1016/0167-7152(92)90279-EzbMath0754.62014OpenAlexW2027844454MaRDI QIDQ1199861
Publication date: 17 January 1993
Published in: Statistics \& Probability Letters (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/0167-7152(92)90279-e
independenceelliptical distributionsfactor analysislikelihood ratio test statisticasymptotic robustnessgoodness-of-fit statisticsmultivariate kurtosiscovariance structuresnormal theorygeneral linear latent variate modelskurtosis adjustmenttest-of-independence
Hypothesis testing in multivariate analysis (62H15) Robustness and adaptive procedures (parametric inference) (62F35)
Related Items (7)
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Cites Work
- Some contributions to efficient statistics in structural models: Specification and estimation of moment structures
- Linear latent variable models and covariance structures
- Asymptotic chi-square tests for a large class of factor analysis models
- On some test criteria for covariance matrix
- 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
- Asymptotically distribution‐free methods for the analysis of covariance structures
- Measures of multivariate skewness and kurtosis with applications
- Robustness of normal theory methods in the analysis of linear latent variate models
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