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When making statistical inferences, bootstrap resampling methods are often appealing because of less stringent assumptions about the distribution of the statistic(s) of interest. However, the procedures are not free of assumptions. This paper addresses a specific situation that occurs frequently in atmospheric sciences where the standard bootstrap is not appropriate; comparative forecast verification of continuous variables. In this setting, the question to be answered concerns which ofdoi:10.1175/jtech-d-20-0069.1 fatcat:tnfttc67ibcfzm5vdpy6ocs7qe