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Activity Number:
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87
- Invited ePoster Session: a Statistical Smörgåsbord
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Type:
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Invited
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Date/Time:
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Sunday, July 29, 2018 : 8:30 PM to 10:30 PM
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Sponsor:
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SSC
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Abstract #330770
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Title:
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Detection of Trend Onset in Environmental Time Series
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Author(s):
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Ying Zhang*
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Companies:
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Acadia University
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Keywords:
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Mann-Kendall test;
Mann-Whitney statistic;
weakly dependent observations;
hydrology research
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Abstract:
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Nonparametric sign- or rank-based statistics are popular in analyzing for trend in environmental time series data. One well-known nonparametric procedure in the hydrology literature is the Mann-Kendall trend test for presence of a monotonic trend. However, such traditional Mann-Kendall tests are not able to answer the question when the trend starts. We propose a two-step nonparametric procedure to answer two important questions simultaneously: a) weather there is a monotonic trend in the time series and b) when it starts if the trend is detected.
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Authors who are presenting talks have a * after their name.
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