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A nonparametric trend test for seasonal data with serial dependence.

Water Resources Research

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Abstract

Statistical tests for monotonic trend in seasonal (eg monthly) hydrologic time series are commonly confounded by some of the following problems: nonnormal data, missing values, seasonality, censoring and serial dependence. An extension of the Mann-Kendall test for trend (designed for such data) is presented here. Because the test is based entirely on tanks, it is robust against nonnormality and censoring.-from Authors

Additional Publication Details

Publication type:
Article
Publication Subtype:
Journal Article
Title:
A nonparametric trend test for seasonal data with serial dependence.
Series title:
Water Resources Research
Volume
20
Issue:
6
Year Published:
1984
Language:
English
Larger Work Type:
Article
Larger Work Subtype:
Journal Article
Larger Work Title:
Water Resources Research
First page:
727
Last page:
732
Number of Pages:
6