把最终的季节时间序列模型转化为状态空间形式，通过卡尔曼滤波实时调整状态向量，实现电梯交通流的在线预测。
It transforms the finial SARIMA model to state space model, adjusts the state vector using Kalman filter, and realizes the on-line forecast.
在平均值为零或平均值为已知的季节时间序列模型中，根据加权对称估计量提出季节单位根的检验统计量，并求出此统计量的极限分布的表达式。
In this article, we propose seasonal unit root test statistics based on the Weighted Symmetric estimator and derive representation for limiting distributions of the statistics.
在平均值为零或平均值为已知的季节时间序列模型中，根据加权对称估计量提出季节单位根的检验统计量，并求出此统计量的极限分布的表达式。
In this article, we propose seasonal unit root test statistics based on the Weighted Symmetric estimator and derive representation for limiting distributions of the statistics.
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