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Abstract Details
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Activity Number:
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77
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Type:
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Contributed
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Date/Time:
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Sunday, July 31, 2011 : 4:00 PM to 5:50 PM
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Sponsor:
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Section on Nonparametric Statistics
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| Abstract - #301084 |
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Title:
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Climate Periodically Isotonic Change Detection
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Author(s):
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Gang Shen*+
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Companies:
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North Dakota State University
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Address:
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Dept of Statistics, Fargo, ND, 58104,
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Keywords:
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change-point ;
periodically isotonic ;
U-statistic ;
mixing ;
nonparametric ;
climatic
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Abstract:
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In a view of the past two millennia, is the recent 160-year global warmth an anomaly or a continuation of climate pattern? In this work, we present two non-parametric Chi-square tests based on the U-test by G. Shen for the periodically isotonic change-point problem, and apply to the global warming data. Our tests do not require any assumption on the structure of the underlying deterministic mean process under the alternative, or its estimate, and have explicit asymptotic distributions for some short-range dependence data. Even under local alternative, our test statistics have asymptotic test power 1.
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Authors who are presenting talks have a * after their name.
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