Abstract
This paper considers the problem of obtaining estimates of seasonal and trend components of time series. It proposes a simple computational procedure for finding those estimates which minimize the sum of absolute errors for an additive time series model. It also examines a multiplicative model with a compound relative error criterion. The proposed method, which yields estimates which are insensitive to outlying members of the series, is ideally suited to a management science context, especially when large numbers of time series must be analysed on a regular basis.
Original language | English |
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Pages (from-to) | 168-172 |
Number of pages | 5 |
Journal | European Journal of Operational Research |
Volume | 9 |
Issue number | 2 |
DOIs | |
Publication status | Published - 1 Jan 1982 |