Risk-Based Trend Detection for Climate Change Adaptation.

Rosner, Ana.

Abstract: The usual procedure for detecting climate change impacts from historic records chooses statistical criteria (usually alpha=0.05) to minimize the probability of Type I error, claiming a trend exists where it does not. However, it ignores Type II error, failing to detect an increasing trend in storm surges. For coastal climate change adaptation, the physical implication of a Type I error i... read more

Tufts University. Department of Civil and Environmental Engineering.
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ID: tufts:20988
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