Trimming influential observations for improved single-index model estimated sufficient summary plots

DOI10.1016/j.csda.2008.05.014zbMath1452.62113OpenAlexW1998791942MaRDI QIDQ1023907

Luke A. Prendergast

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.2008.05.014

Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08) Diagnostics, and linear inference and regression (62J20)

Related Items (4)

Improving estimated sufficient summary plots in dimension reduction using minimization criteria based on initial estimates ⋮ A METHOD OF LOCAL INFLUENCE ANALYSIS IN SUFFICIENT DIMENSION REDUCTION ⋮ A note on least squares sensitivity in single-index model estimation and the benefits of response transformations ⋮ On Sensitivity of Inverse Response Plot Estimation and the Benefits of a Robust Estimation Approach

Uses Software

• ARC

Cites Work

• On almost linearity of low dimensional projections from high dimensional data
• Regression analysis under link violation
• A study of sensitivity analysis on the method of principal Hessian directions
• Sensitivity of principal Hessian direction analysis
• A note On outlier sensitivity of Sliced Inverse Regression
• DETECTING INFLUENTIAL OBSERVATIONS IN SLICED INVERSE REGRESSION ANALYSIS
• Sliced Inverse Regression for Dimension Reduction
• Detection of Influential Observation in Linear Regression
• The identification of a particular nonlinear time series system
• Implications of influence function analysis for sliced inverse regression and sliced average variance estimation
• Influence Functions for Sliced Inverse Regression
• Comment
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