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Suppose that i.i.d. random variables are chosen uniformly from , and let be an increasing bijection. Define to be the expected value of for each . Define the random variable be to be minimal so that $\sum_{i = 1}^{K_{f}} f(X_{i}) > tN_{f}(t)K_{f}$. We prove that if $c_{f} = \frac{\int_{0}^{1} \int_{f^{-1}(u)}^{1} (f(x)-u) dx du}{\mu_{f}}N_{f}(t) = \frac{t+c_{f}}{\mu_{f}}+o(1)$. This generalizes a result of '{C}urgus and Jewett (2007) on the case .

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