Explicit Bounds for the Approximation Error in Benford's Law
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1. | Title | Title of document | Explicit Bounds for the Approximation Error in Benford's Law |
2. | Creator | Author's name, affiliation, country | Lutz Dümbgen; University of Bern |
2. | Creator | Author's name, affiliation, country | Christoph Leuenberger; Ecole d'Ingénieurs de Fribourg |
3. | Subject | Discipline(s) | |
3. | Subject | Keyword(s) | Hermite polynomials, Gumbel distribution, Kuiper distance, normal distribution, total variation, uniform distribution, Weibull distribution |
3. | Subject | Subject classification | 60E15, 60F99 |
4. | Description | Abstract | Benford's law states that for many random variables $X > 0$ its leading digit $D = D(X)$ satisfies approximately the equation $\mathbb{P}(D = d) = \log_{10}(1 + 1/d)$ for $d = 1,2,\ldots,9$. This phenomenon follows from another, maybe more intuitive fact, applied to $Y := \log_{10}X$: For many real random variables $Y$, the remainder $U := Y - \lfloor Y\rfloor$ is approximately uniformly distributed on $[0,1)$. The present paper provides new explicit bounds for the latter approximation in terms of the total variation of the density of $Y$ or some derivative of it. These bounds are an interesting and powerful alternative to Fourier methods. As a by-product we obtain explicit bounds for the approximation error in Benford's law. |
5. | Publisher | Organizing agency, location | |
6. | Contributor | Sponsor(s) | Swiss National Science Foundation |
7. | Date | (YYYY-MM-DD) | 2008-02-22 |
8. | Type | Status & genre | Peer-reviewed Article |
8. | Type | Type | |
9. | Format | File format | |
10. | Identifier | Uniform Resource Identifier | http://ecp.ejpecp.org/article/view/1358 |
10. | Identifier | Digital Object Identifier | 10.1214/ECP.v13-1358 |
11. | Source | Journal/conference title; vol., no. (year) | Electronic Communications in Probability; Vol 13 |
12. | Language | English=en | |
14. | Coverage | Geo-spatial location, chronological period, research sample (gender, age, etc.) | |
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