A new BO - TMA method combined adaptive weighting with Kalman filter is proposed.

提出一种自适应加权和卡尔曼滤波相结合的BO -TMA 新方法.

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The necessity and reasonableness of introducing variable weight in the weighted sum model were summarized.

讨论了在加权和方法中引入变权的必要性和合理性.

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In this paper , we study small deviation theorems of moving average for arbitrary integral random sequences.

利用条件矩母变换,得到了关于任意连续型随机序列加权和的若干小偏差定理.

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It is based on the regression estimate of minimum sum of absolute errors.

针对残差绝对值加权和最小准则下的回归估计,提出了“类逐步回归”变量筛选法.

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