A method for simultaneous variable selection and outlier identification in linear regression
- 1 July 1996
- journal article
- Published by Elsevier in Computational Statistics & Data Analysis
- Vol. 22 (3) , 251-270
- https://doi.org/10.1016/0167-9473(95)00053-4
Abstract
No abstract availableKeywords
This publication has 28 references indexed in Scilit:
- Variable Selection Via Gibbs SamplingJournal of the American Statistical Association, 1993
- Influence of model‐building strategies on the results of a case‐control studyStatistics in Medicine, 1993
- Elicitation of Prior Distributions for Variable-Selection Problems in RegressionThe Annals of Statistics, 1992
- Transformations UnmaskedTechnometrics, 1988
- Masking unmaskedBiometrika, 1986
- [Influential Observations, High Leverage Points, and Outliers in Linear Regression]: Comment: Aspects of Diagnostic Regression AnalysisStatistical Science, 1986
- Influential Observations, High Leverage Points, and Outliers in Linear RegressionStatistical Science, 1986
- On the estimation of slope and the identification of outliers in linear regressionBiometrika, 1981
- Care and Handling of Univariate Outliers in the General Linear Model to Detect Spuriosity: A Bayesian ApproachTechnometrics, 1978
- A Bayesian approach to some outlier problemsBiometrika, 1968