Abstract
When \(\ell \) probabilities are rounded to integer multiples of a given accuracy n, the sum of the numerators may deviate from n by a nonzero discrepancy. It is proved that, for large accuracies \(n \rightarrow \infty \), the limiting discrepancy distribution has variance \(\ell /12\). The relation to the uniform distribution over the interval \([-1/2, 1/2]\), whose variance is 1 / 12, is explored in detail.
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The authors would like to thank the anonymous referee for his comments on the original manuscript which led to an improved version of the paper.
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Heinrich, L., Pukelsheim, F. & Wachtel, V. The variance of the discrepancy distribution of rounding procedures, and sums of uniform random variables. Metrika 80, 363–375 (2017). https://doi.org/10.1007/s00184-017-0609-0
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DOI: https://doi.org/10.1007/s00184-017-0609-0
Keywords
- Rounding residual
- Euler–Maclaurin formula
- Invariance principle for rounding residuals
- Euler–Frobenius polynomial
- Fourier-analytic approach