### Wojcik, MR (2013)

#### How fast increasing powers of a continuous random variable converge to Benford’s law

Statistics and Probability Letters 83, pp. 2688–2692.

**ISSN/ISBN:** 0167-7152
**DOI:** 10.1016/j.spl.2013.09.003

**Abstract:** It is known that increasing powers of a continuous random variable converge in distribution to Benford's law as the exponent approaches infinity. The rate of convergence has been estimated using Fourier analysis, but we present an elementary method, which is easier to apply and provides a better estimation in the widely studied case of a uniformly distributed random variable.

**Bibtex:**

```
@article{,
title = "How fast increasing powers of a continuous random variable converge to Benford's law ",
journal = "Statistics & Probability Letters ",
volume = "83",
number = "12",
pages = "2688 - 2692",
year = "2013",
issn = "0167-7152",
doi = "http://dx.doi.org/10.1016/j.spl.2013.09.003",
url = "http://www.sciencedirect.com/science/article/pii/S0167715213002927",
author = "Michal Ryszard Wojcik",
}
```

**Reference Type:** Journal Article

**Subject Area(s):** Probability Theory, Statistics