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Deciding when a series is a good candidate for seasonal adjustment can be difficult. There are situations where a series may show evidence of seasonality, but because a dominating irregular component, for example, or a volatile seasonal component, many of its seasonal factors cannot be estimated reliably. In these circumstances, the estimates of a given month's seasonal factor can change substantially when more data are added to the series and earlier data deleted.
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