Time series with Poisson point process

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Abstract

A transformation based on irregular data in r-dimension is considered in Poisson case. Second order moments are calculated. The behavior of the cross-covariance and dispersion are investigated. Limiting distribution for the suggested transformation is derived. Estimates of the mean and the cross-covariance function are defined. Moments and asymptotic behavior of the mean estimate and cross-covariance estimate is discussed. © 2003 Elsevier Inc. All rights reserved.

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APA

Ghazal, M. A., & Aly, A. M. (2004). Time series with Poisson point process. Applied Mathematics and Computation, 150(1), 149–157. https://doi.org/10.1016/S0096-3003(03)00205-4

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