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Keyword: arima models;
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Andrew C Harvey, Siem Jan Koopman and J Penzer
Many series are subject to data irregularities such as missing values, outliers, structural breaks and irregular spacing. Data can also be messy, and hence difficult to handle by standard procedures, when they are intrin...Read more...