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Title: Exponential smoothing for irregular time series (English)
Author: Cipra, Tomáš
Author: Hanzák, Tomáš
Language: English
Journal: Kybernetika
ISSN: 0023-5954
Volume: 44
Issue: 3
Year: 2008
Pages: 385-399
Summary lang: English
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Category: math
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Summary: The paper deals with extensions of exponential smoothing type methods for univariate time series with irregular observations. An alternative method to Wright’s modification of simple exponential smoothing based on the corresponding ARIMA process is suggested. Exponential smoothing of order m for irregular data is derived. A similar method using a DLS **discounted least squares** estimation of polynomial trend of order m is derived as well. Maximum likelihood parameters estimation for forecasting methods in irregular time series is suggested. The suggested methods are compared with the existing ones in a simulation numerical study. (English)
Keyword: ARIMA model
Keyword: exponential smoothing of order $m$
Keyword: discounted least squares
Keyword: irregular observations
Keyword: maximum likelihood
Keyword: simple exponential smoothing
Keyword: time series
MSC: 60G35
MSC: 62M10
MSC: 62M20
MSC: 90A20
MSC: 91B84
idZBL: Zbl 1154.62363
idMR: MR2436039
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Date available: 2009-09-24T20:35:32Z
Last updated: 2012-06-06
Stable URL: http://hdl.handle.net/10338.dmlcz/135858
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Reference: [1] Abraham B., Ledolter J.: Statistical Methods for Forecasting.Wiley, New York 1983 Zbl 1082.62079, MR 0719535
Reference: [2] Aldrin M., Damsleth E.: Forecasting non-seasonal time series with missing observations.J. Forecasting 8 (1989), 97–116
Reference: [3] Anděl J., Zichová J.: A method for estimating parameter in nonnegative MA(1) models.Comm. Statist. Theory Methods 31 (2002), 2101–2111 Zbl 1051.62070, MR 1946313
Reference: [4] Chatfield C.: Time-Series Forecasting.Chapman & Hall/CRC, 2002
Reference: [5] Cipra T., Trujillo, J., Rubio A.: Holt–Winters method with missing observations.Manag. Sci. 41 (1995), 174–8 Zbl 0829.90034
Reference: [6] Cipra T.: Exponential smoothing for irregular data.Appl. Math. 51 (2006), 597–604 Zbl 1164.62377, MR 2291784
Reference: [7] Wright D. J.: Forecasting data published at irregular time intervals using extension of Holt’s method.Manag. Sci. 32 (1986), 499–510
Reference: [8] Zichová J.: On a method of estimating parameters in non-negative ARMA models.Kybernetika 32 (1996), 409–424 Zbl 0882.62089, MR 1420132
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