Abstract
We propose various diagnostic measures for the identification of observations that are influential for the estimation of probability density functions, probabilities, and log odds in quadratic discriminant analysis. The quantile-quantile (Q-Q) plots together with simulated confidence envelopes are found to be useful for detecting influential observations in a data set of two species of biting flies that are so similar that they are difficult to discriminate morphologically. We find that the omission of even one case in the data set can have a very great effect on the estimated probabilities that the observations belong to a particular group.
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