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Title: Seasonal time series with missing observations (English)
Author: Ratinger, Tomáš
Language: English
Journal: Applications of Mathematics
ISSN: 0862-7940 (print)
ISSN: 1572-9109 (online)
Volume: 41
Issue: 1
Year: 1996
Pages: 41-55
Summary lang: English
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Category: math
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Summary: Popular exponential smoothing methods dealt originally only with equally spaced observations. When time series contains gaps, smoothing constants have to be adjusted. Cipra et al., following Wright’s approach of irregularly spaced observations, have suggested ad hoc modification of smoothing constants for the Holt-Winters smoothing method. In this article the fact that the underlying model of the Holt-Winters method is a certain seasonal ARIMA is used. Minimum mean square error smoothing constants are derived and compared with those of Cipra. (English)
Keyword: Holt-Winters method
Keyword: missing observations
Keyword: seasonal ARIMA model
MSC: 62M10
MSC: 62M20
MSC: 90A20
MSC: 91B84
MSC: 93E14
idZBL: Zbl 0888.62097
idMR: MR1365138
DOI: 10.21136/AM.1996.134312
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Date available: 2009-09-22T17:50:07Z
Last updated: 2020-07-28
Stable URL: http://hdl.handle.net/10338.dmlcz/134312
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Reference: [1] B. Abraham, J. Ledolter: Forecast functions implied by autoregressive integrated moving average models and other related forecast procedures.International Statistical Review 54 (1986), 51–66. MR 0959652, 10.2307/1403258
Reference: [2] B. Abraham, J. Ledolter: Statistical Methods for Forecasting.Wiley, New York, 1983. MR 0719535
Reference: [3] M. Aldrin, E. Damsleth: Forecasting non-seasonal time series with missing observations.Journal of Forecasting 8 (1989), 97–116. 10.1002/for.3980080204
Reference: [3] P.J. Brockwell, R.A. Davis: Time Series Theory and Methods.Springer, New York, 1991. MR 1093459
Reference: [5] T. Cipra, A. Rubio, J. Trujillo: Holt-Winters method with missing observations.Management Science.
Reference: [6] D.J. Wright: Forecasting data published at irregular time intervals using an extension of Holt’s method.Management Science 32 (1986), 499–510. 10.1287/mnsc.32.4.499
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