Identifying multiple influential observations in linear regression
From MaRDI portal
Publication:3592048
DOI10.1080/02664760500163599zbMath1121.62404OpenAlexW1979344365MaRDI QIDQ3592048
Publication date: 11 September 2007
Published in: Journal of Applied Statistics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/02664760500163599
outliersmaskingswampinginfluential observationshigh leverage pointsgeneralized Cook's distancegeneralized DFFITSgroup deletionindex plot
Related Items (20)
A Novel Collinearity-Influential Observation Diagnostic Measure Based on a Group Deletion Approach ⋮ Deletion residuals in the detection of heterogeneity of variances in linear regression ⋮ The performance of diagnostic-robust generalized potentials for the identification of multiple high leverage points in linear regression ⋮ Robust distance measure to detect outliers for categorical data ⋮ A new multiple outliers identification method in linear regression ⋮ A multiple-case deletion approach for detecting influential points in high-dimensional regression ⋮ Detection of outliers in high-dimensional data using nu-support vector regression ⋮ Minimum regularized covariance determinant and principal component analysis-based method for the identification of high leverage points in high dimensional sparse data ⋮ Unnamed Item ⋮ Identification of Multiple Outliers in Logistic Regression ⋮ Identification of multiple influential observations in logistic regression ⋮ Geometric median and its application in the identification of multiple outliers ⋮ Influence measures in affine combination type regression ⋮ Identification of multiple high leverage points in logistic regression ⋮ Identification and classification of multiple outliers, high leverage points and influential observations in linear regression ⋮ A high breakdown, high efficiency and bounded influence modified GM estimator based on support vector regression ⋮ A Diagnostic Measure for Influential Observations in Linear Regression ⋮ Multiple deletion diagnostics in beta regression models ⋮ Subspace clustering of high-dimensional data: a predictive approach ⋮ Multiple Influential Point Detection in High Dimensional Regression Spaces
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- An unbalanced jackknife
- A new measure of overall potential influence in linear regression
- The regression dilemma
- Developments in Linear Regression Methodology: 1959-1982
- Why Not Try a Robust Regression?
- Efficient Computing of Regression Diagnostics
- Testing for a Single Outlier from a General Linear Regression
- Detection of Influential Observation in Linear Regression
- The Hat Matrix in Regression and ANOVA
- Fast Very Robust Methods for the Detection of Multiple Outliers
- Robust Statistics
This page was built for publication: Identifying multiple influential observations in linear regression