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首页> 外文期刊>Proceedings of the Latvian Academy of Sciences, Section B. Natural, exact, and applied sciences, B dala. Dabaszinatnes >Limit Theorems for Bivariate Generalised Order Statistics in Stationary Gaussian Sequences with Random Sample Sizes
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Limit Theorems for Bivariate Generalised Order Statistics in Stationary Gaussian Sequences with Random Sample Sizes

机译:随机样本大小的平稳高斯序列中双变量广义阶数统计的极限定理

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In this paper, we study the limit distribution functions of the (lower-lower), (upper-upper) and (lower-upper) extreme and central-central m -generalised order statistics (m–GOS) of stationary Gaussian sequences under an equi-correlated set up, when the random sample size is assumed to converge weakly and independent of the basic variables. Moreover, sufficient conditions for a weak convergence of generalised quasi-range with random indices are obtained.
机译:在本文中,我们研究了一个固定高斯序列在上下方向上的(高-低),(上-上)和(下-上)的极端和中心中心广义广义统计量(m–GOS)的极限分布函数。当假设随机样本数量弱收敛且与基本变量无关时,建立等相关集。此外,获得了具有随机指数的广义拟范围弱收敛的充分条件。

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