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Thresholds of moving average of stationary processes for given on target significant levels
Authors:F. Al-Awadhi  A. R. Soltani
Affiliation:(1) Department of Statistics and Operations Research, College of Science, Kuwait University, P. O. Box 5969, Safat, 13060, Kuwait
Abstract:A Markov chain is associated to a finite order one-sided moving average of a discrete time stationary Gaussian process. A method is developed to specify thresholds $${0=L_0 < L_1 < cdots < L_m < L_{m+1}=infty}$$ for given on target significant levels $${pi_0, ldots, pi_{m},quad sum_{i=0}^{m} pi_{i} =1;}$$ in the sense that in the long run the probability that the moving average process lies in [L i , L i+1), will be π i , i = 0,. . . ,m. Special inputs, AR(1) and MA(1) are treated in details. This article extends the work of Soltani et al. in (Commun Stat Theory Methods 36(14):2595–2606) where the inputs were assumed to be i.i.d.; and a single threshold was considered. This research was supported by Kuwait University, Research Administration, Research Grant No.[SS08/06].
Keywords:Markov chains  Stationary distributions  Stationary Gaussian processes  Thresholds  On target significant levels
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