Peil J, Schmerling S
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The mathematical background of empirical regression its meaning, and its role in a first stage of data evaluation will be sketched. In the second part, applications of empirical regression procedures for time series analysis will be presented, especially for a model-free quantitative description of the trend component in nonstationary time series and for trend elimination with regard to a further spectral, decomposition and spectral characterization of the modified time series.
将概述经验回归的数学背景、其含义及其在数据评估第一阶段中的作用。在第二部分，将介绍经验回归程序在时间序列分析中的应用，特别是用于对非平稳时间序列中的趋势成分进行无模型定量描述，以及用于关于修改后时间序列的进一步频谱分解和频谱表征的趋势消除。
