Estimation for the function of a time deformation in the model of the stationary reduction (Q2740081)

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scientific article; zbMATH DE number 1646489
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Estimation for the function of a time deformation in the model of the stationary reduction
scientific article; zbMATH DE number 1646489

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    16 September 2001
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    estimation
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    Baxter sums
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    Gaussian process
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    time deformation
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    Estimation for the function of a time deformation in the model of the stationary reduction (English)
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    This article deals with the problem of reduction of the non-stationary process \(Z(t)\), \(t\in T,\) to the stationary process. The non-stationary random process \(Z(t)\) with correlation function \(r(t,s)=EZ(t)Z(s)\) is modelled by \(Z(t)=\delta(\Phi(t))\), \(t\in T\), where \(\Phi:T\to R^1\) is a time deformation, \(\delta(s), s\in R^1\), is a stationary random process with zero mean and the correlation function \(R(s-t)\). The representation \(Z(t)=\delta(\Phi(t))\) is possible if and only if \(r(t,s)=R(\Phi(s)-\Phi(t))\), \(s,t\in T\). The author constructs the non-parametric consistent estimate of the time deformation \(\Phi(t)\) by the Baxter sums of the random process \(Z(t)\), \(t\in [0,1]\).
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