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The Estimation of the Fourth-Order Cumulant for Dependent Data: Consistency and Asymptotic Normality

机译:相依数据四阶累积量的估计:一致性和渐近正态性

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Let {Xi} be a stationary dependent random process with finite eight-order moments. For broad classes of processes (¿-mixing and strongly mixing), we obtain the convergence in probability, with sharp rates, of the estimate of the fourth-order cumulant from n observations {Xi}i=1 n . We also establish the asymptotic distribution of the estimation error. The asymptotic expression of the variance is explicitly specified.
机译:令{Xi}是一个具有有限八阶矩的平稳随机过程。对于宽泛的过程类别(ƒ-,-混合和强混合),我们从n个观测值{Xi} i = 1中获得了四次累积量估计的概率(具有锐利速率)的收敛性。 n。我们还建立了估计误差的渐近分布。明确指定了方差的渐近表达式。

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