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This article is cited in 8 scientific papers (total in 8 papers)
Statistical Analysis of First-Order MARMA Processes
A. V. Lebedev M. V. Lomonosov Moscow State University
Abstract:
In this paper, we consider processes of the MARMA type that can be derived from the classical ARMA processes by replacing summation by the maximum operation. It is assumed that the innovations and the values of the process have the standard Fréchet distribution. For simple MARMA processes of first order, certain numerical characteristics are calculated. Sign tests and rank statistical methods for parameter estimation are developed. The characterization relations that can be used for the identification of models are justified.
Keywords:
MARMA and ARMA processes, moving maximum, sign test, rank test, estimation of parameters, random variable, Fréchet distribution, Pearson correlation coefficient.
Received: 20.03.2007
Citation:
A. V. Lebedev, “Statistical Analysis of First-Order MARMA Processes”, Mat. Zametki, 83:4 (2008), 552–558; Math. Notes, 83:4 (2008), 506–511
Linking options:
https://www.mathnet.ru/eng/mzm4575https://doi.org/10.4213/mzm4575 https://www.mathnet.ru/eng/mzm/v83/i4/p552
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Abstract page: | 588 | Full-text PDF : | 202 | References: | 64 | First page: | 9 |
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