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This paper presents a new robust method to estimate the parameters of a SARIMA model. This method uses robust autocorrelations estimates based on sample medians coupled with a robust filter cleaner which rejects deviant observations. Our procedure is compared with other robust methods via evaluation of the different robustness measures such as maximum bias, breakdown point and influence function....
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