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This video discusses parameter estimation and complete statistics. A statistic T follows a distribution (continuous or discrete) with the parameter θ in the parameter space omega. T is complete for a family of distributions F if the expected value of any function of T equals zero for all θ, implying that the function of T is also zero for all θ almost everywhere. Example: Showing that Xn (nth order statistic) is sufficient and complete when Xi is from a certain distribution family.