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Title: Non-negative linear processes (English)
Author: Anděl, Martin
Language: English
Journal: Applications of Mathematics
ISSN: 0862-7940 (print)
ISSN: 1572-9109 (online)
Volume: 36
Issue: 4
Year: 1991
Pages: 277-283
Summary lang: English
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Category: math
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Summary: Conditions under which the linear process is non-negative are investigated in the paper. In the definition of the linear process a strict white noise is used. Explicit results are presented also for the models AR(1) and AR(2). (English)
Keyword: autoregressive model
Keyword: linear process
Keyword: non-negative process
Keyword: strict white noise
MSC: 60G10
MSC: 62M10
idZBL: Zbl 0737.62073
idMR: MR1113951
DOI: 10.21136/AM.1991.104466
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Date available: 2008-05-20T18:41:57Z
Last updated: 2020-07-28
Stable URL: http://hdl.handle.net/10338.dmlcz/104466
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Reference: [1] J. Anděl: Statistical Analysis of Time Series.(Czech). SNTL Praha 1976.
Reference: [2] J. Anděl: AR(1) processes with given moments of marginal distribution.Kybernetika 25 (1989), 337-347. Zbl 0701.62087, MR 1024709
Reference: [3] J. Anděl V. Dupač: An extension of the Borel lemma.CMUC 32 (1989), 405-407. MR 1014141
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