© 1975 by Biometrika Trust
A short-cut test for outliers using residuals
Statistical Laboratory, University of Cambridge
The differences between the numbers of positive and negative residuals in each row and column of a two-way analysis of variance are used to define an approximate chi-squared statistic which can be used to test for the presence of outlying observations. The chi-squared approximation rests on a Central Limit Theorem for the number of positive residuals in the two-way table. Extensions to other classifications are also discussed.
Key Words: Central Limit Theorem Convergence of moments Multinomial orthant probabilities Outliers Residuals