A new measure of overall potential influence in linear regression
From MaRDI portal
Publication:2563570
DOI10.1016/0167-9473(92)90078-TzbMath0875.62302OpenAlexW2068383009MaRDI QIDQ2563570
Publication date: 10 November 1997
Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/0167-9473(92)90078-t
outliersinfluential observationsregression diagnosticsinfluence measureleverage valuesL-R plotP-R plot
Linear regression; mixed models (62J05) Diagnostics, and linear inference and regression (62J20) Graphical methods in statistics (62A09)
Related Items (36)
A Novel Collinearity-Influential Observation Diagnostic Measure Based on a Group Deletion Approach ⋮ REGRESSION DIAGNOSTICS FOR THE LEAST ABSOLUTE DEVIATIONS AND THE MINIMAX METHODS ⋮ A Re-Weighted Least Squares Method for Robust Regression Estimation ⋮ Diagnostic robust generalized potential based on index set equality (DRGP (ISE)) for the identification of high leverage points in linear model ⋮ Procedures for the identification of multiple influential observations in linear regression ⋮ A unifying representation of some case-deletion influence measures in univariate and multivariate linear regression ⋮ A method for simultaneous variable selection and outlier identification in linear regression ⋮ An algorithm for constructing optimal resolvable incomplete block designs ⋮ The performance of diagnostic-robust generalized potentials for the identification of multiple high leverage points in linear regression ⋮ Influence diagnostics in multiple discriminant analysis ⋮ Multiple cases deletion measures in linear measurement error models ⋮ A new multiple outliers identification method in linear regression ⋮ Evaluation of outlier detection method performance in symmetric multivariate distributions ⋮ Detection of outliers in high-dimensional data using nu-support vector regression ⋮ Diagnostics of multiple group influential observations for logistic regression models ⋮ Identification of Multiple Outliers in Logistic Regression ⋮ Identification of multiple influential observations in logistic regression ⋮ An improvement of the Hotelling \(T^2\) statistic in monitoring multivariate quality characteristics ⋮ Geometric median and its application in the identification of multiple outliers ⋮ Identification of multiple high leverage points in logistic regression ⋮ A new measure for detecting influential DMUs in DEA ⋮ Identification and classification of multiple outliers, high leverage points and influential observations in linear regression ⋮ Duality and local sensitivity analysis in least squares, minimax, and least absolute values regressions ⋮ The Frèchet's metric as a measure of influence in multivariate linear models with random errors elliptically distributed ⋮ Case-deletion type diagnostics for calibration estimators in survey sampling ⋮ Local and deletion diagnostic ⋮ Rao distance as a measure of influence in the multivariate linear model ⋮ Identifying multiple influential observations in linear regression ⋮ r-d Class Estimator Under Misspecification ⋮ Derived components regression using the BACON algorithm ⋮ Influence measures on profile analysis with elliptical data through Frèchet's metric ⋮ Influence Analysis on Discriminant Coordinates ⋮ Diagnostics for non-linear regression ⋮ BACON: blocked adaptive computationally efficient outlier nominators. ⋮ Robust nonparametric derivative estimator ⋮ Measures and procedures for the identification of locally influential observations in linear regression
Cites Work
- Influential observations, high leverage points, and outliers in linear regression
- Using Recursive Residuals, Calculated on Adaptively-Ordered Observations, to Identify Outliers in Linear Regression
- Outlier..........s
- Two graphical displays for outlying and influential observations in regression
- Efficient Computing of Regression Diagnostics
- Influential Observations and Outliers in Regression
- Detecting Outliers. II. Supplementing the Direct Analysis of Residuals
- Detection of Influential Observation in Linear Regression
- The Hat Matrix in Regression and ANOVA
- On Testing for Two Outliers or One Outlier in Two-Way Tables
- A Predictive View of the Detection and Characterization of Influential Observations in Regression Analysis
- Robust Statistics
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
This page was built for publication: A new measure of overall potential influence in linear regression