<p><strong>课程介绍：</strong></p> <p>本课程涉及用于分析时间序列数据的适当统计技术的理论和应用; 随时间收集的数据。 本课程将从静止时间序列理论，趋势和季节性分析与调整方法，自回归移动平均过程建模与预测，外生或干预变量对响应的影响建模，随机波动模型开始。 申请主要来自两个领域：金融和公共卫生。 在本课程中，您将对离散时间内固定和非固定时间序列的时域属性和常用模型有充分的了解，并能够使用R包进行适当的分析。</p>
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