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Title: On the Bayes approach in general multiple autoregressive series (English)
Author: Anděl, Jiří
Language: English
Journal: Aplikace matematiky
ISSN: 0373-6725
Volume: 18
Issue: 1
Year: 1973
Pages: 18-29
Summary lang: English
Summary lang: Czech
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Category: math
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Summary: The Bayes theory of multiple autoregressive series is derived in the paper. The point estimates for unknown autoregressive parameters are given. The posterior distributions are derived and used for testing hypotheses. The theory is applied to the model with exogenous and endogenous variables. ()
MSC: 62F15
MSC: 62H10
MSC: 62M10
idZBL: Zbl 0254.62056
idMR: MR0312642
DOI: 10.21136/AM.1973.103444
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Date available: 2008-05-20T17:55:00Z
Last updated: 2020-07-28
Stable URL: http://hdl.handle.net/10338.dmlcz/103444
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Reference: [1] J. Anděl: The Bayes approach in multiple autoregressive series.Aplikace matematiky 16 (1971), 220-228. MR 0290498
Reference: [2] T. W. Anderson: An introduction to multivariate statistical analysis.Wiley, New York 1958. Zbl 0083.14601, MR 0091588
Reference: [3] D. G. Champernowne: Sampling theory applied to autoregressive sequences.J. Roy. Stat. Soc. ser. B, 10 (1948), 204-231. Zbl 0033.08101, MR 0030178
Reference: [4] H. Cramér: Mathematical methods of statistics.Princeton Univ. Press 1946. MR 0016588
Reference: [5] J. Hájek J. Anděl: Stacionární procesy.(Lecture notes.) SPN 1969.
Reference: [6] M. H. Quenouille: The analysis of multiple time-series.Griffin, London 1957. MR 0093092
Reference: [7] C. R. Rao: Linear statistical inference and its applications.Wiley, New York 1965. Zbl 0137.36203, MR 0221616
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