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Masking effect on tests for outliers in normal samples
Department of Statistics, University of Bombay Bombay 400 098, India
Department of Statistics, University of Poona Pune 411 007, India
Bendre & Kale (1985) defined the masking effect on tests for outliers by the loss in power due to the presence of more than the number of outliers under test. Using the same measure, the limiting masking effects on outlier tests such as the Grubbs, Ferguson and Dixon tests are investigated. Ferguson's test based on sample skewness is more robust against the masking effect than the others.
Key Words: Consistency Degree of discordancy Ferguson's skewness test Grubbs's test k-outlier model Labelled slippage alternative Shift in mean