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More on the distribution of the sum of uniform random variables

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Abstract

The paper provides a simplified derivation of the density of the sum of independent non-identically distributed uniform random variables via an inverse Fourier transform. We also provide examples illustrating the quality of the Normal approximation and corresponding MATHEMATICA code.

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References

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Authors and Affiliations

  1. Department of Applied Statistics (IFAS), Johannes-Kepler-University, 4040, Linz, Austria

    Heinrich Potuschak & Werner G. Müller

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  1. Heinrich Potuschak
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  2. Werner G. Müller
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Correspondence to Heinrich Potuschak.

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Potuschak, H., Müller, W.G. More on the distribution of the sum of uniform random variables. Stat Papers 50, 177–183 (2009). https://doi.org/10.1007/s00362-007-0050-y

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  • DOI: https://doi.org/10.1007/s00362-007-0050-y

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