Care and Handling of Univariate or Multivariate Outliners in Detecting Spuriosity: A Bayesian Approach
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Publication:5686804
DOI10.2307/1267384zbMath0269.62038OpenAlexW4235655587MaRDI QIDQ5686804
Publication date: 1973
Published in: Technometrics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.2307/1267384
Related Items (19)
APPLYING THE SAVAGE-DICKEY DENSITY RATIO TO DEFAULT BAYES FACTORS, WITH AN ILLUSTRATION TO OUTLIER DETECTION IN RANDOM EFFECTS MODELS ⋮ Quasi-Bayesian modelling of multivariate outliers ⋮ Optimal collapsing of mixture distributions in robust recursive estimation ⋮ An index sampling algorithm for the bayesian analysis of a class of model selection problems ⋮ On determining the number of outliers in exponential and Pareto samples ⋮ On detecting outliers in the Pareto distribution ⋮ Bayesian Estimation of the Regression Model with Autocorrelated Errors Under Contamination ⋮ A quasi Bayesian approach to outlier detection ⋮ On the lack of invariance of some Bayesian outlier models ⋮ A mixture-based approach to robust analysis of generalised linear models ⋮ Likelihood ratio tests for testing for multiple contaminants in the shocks and labelled slippage models ⋮ Bayesian approach to outlier detection in multivariate normal samples and linear models ⋮ Premium and protection of a response estimation procedure for two-way tables when outliers occur ⋮ Effect of outliers on the estimation of parameters ⋮ Genetic algorithms for outlier detection in multiple regression with different information criteria ⋮ Problem of estimation when the outliers are present ⋮ Bayesian assessment of assumptions of regression analysis ⋮ Estimative influence measures for the multivariate general linear model ⋮ Bayesian measures of surprise for outlier detection
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