Detection Of K-Upper Outliers In Exponential Samples Using Multiple Upper Outlier Tests
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Annals. Computer Science Series
Abstract
Outlying values have been an issue of
concern to researchers and data analysts. The study of
multiple outliers is imperative because outlying values may
lead to model misspecification, wrong estimation of
parameters and incorrect statistical results. This paper
proposed Tietjien-Moore test statistics for upper outliers in
exponential samples. A simulated study was carried to
investigate the strength of the test statistics.