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Title: On periodic autoregression with unknown mean (English)
Author: Anděl, Jiří
Author: Rubio, Asunción
Author: Insua, Antonio
Language: English
Journal: Aplikace matematiky
ISSN: 0373-6725
Volume: 30
Issue: 2
Year: 1985
Pages: 126-139
Summary lang: English
Summary lang: Czech
Summary lang: Russian
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Category: math
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Summary: If the parameters of an autoregressive model are periodic functions we get a periodic autoregression. In the paper the case is investigated when the expectation can also be a periodic function. The innovations have either constant or periodically changing variances. (English)
Keyword: estimating parameters
Keyword: testing hypotheses
Keyword: Periodic autoregressive models
Keyword: time-varying coefficients
Keyword: Gaussian white noise
Keyword: unknown mean
Keyword: innovation
Keyword: seasonal series
Keyword: Gaussian maximum likelihood methods
MSC: 62F15
MSC: 62M10
MSC: 90A20
idZBL: Zbl 0585.62152
idMR: MR0778983
DOI: 10.21136/AM.1985.104133
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Date available: 2008-05-20T18:27:00Z
Last updated: 2020-07-28
Stable URL: http://hdl.handle.net/10338.dmlcz/104133
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Reference: [1] J. Anděl: Statistical analysis of periodic autoregression.Apl. mat. 28 (1983), 364-365. MR 0712913
Reference: [2] G. E. P. Box G. C. Tiao: Intervention analysis with applications to economic and environmental problems.J. Amer. Statist. Assoc. 70 (1975), 70-79. MR 0365957, 10.1080/01621459.1975.10480264
Reference: [3] E. G. Gladyshev: Periodically correlated random sequences.Soviet Math. 2 (1961), 385-388. Zbl 0212.21401
Reference: [4] E. G. Gladyshev: Periodically and almost periodically correlated random process with continuous time parameter.Theory Prob. Appl. 8 (1963), 173-177.
Reference: [5] M. Pagano: On periodic and multiple autoregression.Ann. Statist. 6 (1978), 1310-1317. MR 0523765, 10.1214/aos/1176344376
Reference: [6] A. Zellner: An introduction to Bayesian Inference in Econometrics.Wiley, New York, 1971. Zbl 0246.62098, MR 0433791
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