Analyzing and comparing complex environmental time series using a cumulative sums approach
Analyzing and comparing complex environmental time series using a cumulative sums approach
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DOI：
10.1016/j.mex.2019.03.014
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发表时间：
2019-01-01
期刊：
影响因子：
1.9
通讯作者：
Boyer, Joseph N.
中科院分区：
文献类型：
--
作者：
Regier, Peter;Briceno, Henry;Boyer, Joseph N.
累积和（Cusums）是一种简单，有效的统计方法，用于过程控制，并越来越多地用于确定时间序列的基本特征。在这里，提出了两个有用的应用Cusums环境时间序列：在时域中的Cusums和绘制Cusum变换的变量对非变换的变量，以提取意义的驱动程序响应关系的上下文中。这些统计分析易于进行，并提供了关于一段时间内时间序列的趋势、模式和阈值以及与潜在驱动变量相关的宝贵信息。此外，这项工作研究的鲁棒性的Cusum变换的各种特征的环境时间序列，挑战传统的统计方法。总之，这项工作提出：从复杂的环境时间序列中获得意义的累积和方法。常见的时间序列问题对累积和方法的影响。应用于现实世界的数据集。(C)2019年，任作家。由爱思唯尔公司出版
Cumulative sums (Cusums) are a simple, efficient statistical method developed for process control and increasingly used to determine underlying features of time series. Here, two useful applications of Cusums to environmental time series are presented: Cusums in the time domain and plotting Cusum-transformed variables against non-transformed variables to extract meaning in the context of driver-response relationships. These statistical analyses are simple to conduct and provide valuable information about trends, patterns and thresholds of time-series over time and in relation to potential driver variables. In addition, this work investigates the robustness of the Cusum transform to various characteristics of environmental time series that challenge conventional statistical methods. In summary, this work presents:Cusum methods to derive meaning from complex environmental time series.Effects of common time series issues on the Cusums method.Application to real-world datasets. (C) 2019 The Authors. Published by Elsevier B.V.