JOURNAL ARTICLE
Outlier Discordancy Tests in the Normal Linear Model
Year: 1983 Journal: Journal of the Royal Statistical Society Series B (Statistical Methodology) Vol: 45 (1)Pages: 120-132 Publisher: Oxford University Press
Abstract
SUMMARY Outlier discordancy tests are motivated by considering the residual pattern recognition approach of Daniel and the approaches of cross-validation and maximum likelihood. Various optimality properties of the significance tests for the most outlying subset of data are shown and a multivariate two-way layout example is given.
Keywords:
Outlier Multivariate statistics Residual Computer science Multivariate normal distribution Statistics Maximum likelihood Likelihood-ratio test Artificial intelligence Data mining Mathematics Pattern recognition (psychology) Algorithm
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FWCI (Field Weighted Citation Impact)
30
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0.68
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Citation History
Topics
Advanced Statistical Methods and Models
Physical Sciences → Mathematics → Statistics and Probability
Statistical Methods and Inference
Physical Sciences → Mathematics → Statistics and Probability
Advanced Statistical Process Monitoring
Social Sciences → Decision Sciences → Statistics, Probability and Uncertainty
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