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Activity Number: 87 - Invited ePoster Session: a Statistical Smörgåsbord
Type: Invited
Date/Time: Sunday, July 29, 2018 : 8:30 PM to 10:30 PM
Sponsor: SSC
Abstract #330770
Title: Detection of Trend Onset in Environmental Time Series
Author(s): Ying Zhang*
Companies: Acadia University
Keywords: Mann-Kendall test; Mann-Whitney statistic; weakly dependent observations; hydrology research

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.

Authors who are presenting talks have a * after their name.

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