The Frèchet's metric as a measure of influence in multivariate linear models with random errors elliptically distributed
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Publication:956946
DOI10.1016/J.CSDA.2003.08.003zbMath1429.62335OpenAlexW2078069988MaRDI QIDQ956946
J. Muñoz-García, A. Pascual-Acosta, A. Enguix-González, Juan M. Muñoz-Pichardo
Publication date: 26 November 2008
Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.csda.2003.08.003
Related Items (5)
Using conditional bias in principal component analysis for the evaluation of joint influence on the eigenvalues of the covariance matrix ⋮ Cressie and Read power-divergences as influence measures for logistic regression models ⋮ Influence measures on profile analysis with elliptical data through Frèchet's metric ⋮ Influence measures in beta regression models through distance between distributions ⋮ Influence Measures Based on Cressie-Read Divergence Measures in Multivariate Linear Model
Cites Work
- The Frechet distance between multivariate normal distributions
- Fréchet distance as a tool for diagnosing multivariate data
- A new measure of overall potential influence in linear regression
- Outliers: A Formal Approach
- Rao distance as a measure of influence in the multivariate linear model
- General Classes of Influence Measures for Multivariate Regression
- Conformal Normal Curvature and Assessment of Local Influence
- Local influence: a new approach
- Influence analysis in multivariate linear general models
- Miscellanea. Influence diagnostic in survey sampling: conditional bias
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