Two characterizations, the aberrant observation and innovation models, for outliers in time series are considered. A procedure based on the well‐known score‐test is discussed for detection of outliers and distinguishing between the outlier types. Significance levels of the tests are also obtained and the method is illustrated with simulated examples.
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Abraham et al. (1988) studied this question.
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