A complete statistic is a statistic that captures all the information about a parameter of interest contained in a sample. Specifically, if a statistic is complete, then no other function of the statistic can provide any additional information about the parameter. This concept is crucial for identifying best unbiased estimators and understanding the Rao-Blackwell theorem, as it allows for the creation of more efficient estimators by utilizing complete statistics.
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