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Title: Statistical analysis of periodic autoregression (English)
Author: Anděl, Jiří
Language: English
Journal: Aplikace matematiky
ISSN: 0373-6725
Volume: 28
Issue: 5
Year: 1983
Pages: 364-385
Summary lang: English
Summary lang: Czech
Summary lang: Russian
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Category: math
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Summary: Methods for estimating parameters and testing hypotheses in a periodic autoregression are investigated in the paper. The parameters of the model are supposed to be random variables with a vague prior density. The innovation process can have either constant or periodically changing variances. Theoretical results are demonstrated on two simulated series and on two sets of real data. (English)
Keyword: periodic autoregression
Keyword: vague prior density
Keyword: innovation process
Keyword: changing variances
Keyword: simulated series
Keyword: real data
MSC: 62F15
MSC: 62M10
idZBL: Zbl 0537.62073
idMR: MR0712913
DOI: 10.21136/AM.1983.104048
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Date available: 2008-05-20T18:23:12Z
Last updated: 2020-07-28
Stable URL: http://hdl.handle.net/10338.dmlcz/104048
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Reference: [1] J. Anděl: The Statistical Analysis of Time Series.SNTL, Prague 1976 (in Czech).
Reference: [2] J. Anděl: Mathematical Statistics.SNTL, Prague, 1978 (in Czech).
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Reference: [4] 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: [5] W. P. Cleveland G. C. Tiao: Modeling seasonal time series.Rev. Economic Appliquée 32 (1979), 107-129.
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Reference: [7] E. G. Gladyshev: Periodically and almost periodically correlated random processes with continuous time parameter.Theory Prob. Appl. 8 (1983), 173-177.
Reference: [8] J. Janko: Statistical Tables.NČSAV, Prague, 1958 (in Czech). MR 0150924
Reference: [9] N. L. Johnson S. Kotz: Distributions in Statistics: Continuous Multivariate Distributions.Wiley, New York, 1972. MR 0418337
Reference: [10] R. H. Jones W. M. Brelsford: Time series with periodic structure.Biometrika 54 (1967), 403-408. MR 0223041, 10.1093/biomet/54.3-4.403
Reference: [11] H. J. Newton: Using periodic autoregression for multiple spectral estimation.Technometrics 24 (1982), 109-116. MR 0655574, 10.1080/00401706.1982.10487731
Reference: [12] M. Pagano: On periodic and multiple autoregression.Ann. Statist. 6 (1978), 1310-1317. MR 0523765, 10.1214/aos/1176344376
Reference: [13] C. G. Tiao M. R. Grupe: Hidden periodic autoregressive-moving average models in time series data.Biometrika 67 (1980), 365-373. MR 0581732
Reference: [14] A. Zellner: An Introduction to Bayesian Inference in Econometrics.Wiley, New York, 1971. Zbl 0246.62098, MR 0433791
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