# Clauset 2009: Power-Law Distributions in Empirical Data

> Aaron Clauset, Cosma Rohilla Shalizi, M. E. J. Newman, 2009. 1 records on Mysteries Department cite it. The emerging-methods survey notes that few…

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[Sources](https://mysteriesdept.com/sources)[Voynich Manuscript](https://mysteriesdept.com/mysteries/voynich-manuscript)Clauset 2009

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# Power-Law Distributions in Empirical Data

Aaron Clauset, Cosma Rohilla Shalizi, M. E. J. Newman, 2009. _SIAM Review_.

Sets out maximum-likelihood fitting and goodness-of-fit tests for power laws, and shows that least-squares fits on log-log plots can give badly wrong answers.

**Voynich Manuscript** Articledoi: **[10.1137/070710111](https://doi.org/10.1137/070710111)** Checked against the original0

## What it's used for here

The emerging-methods survey notes that few Voynich Zipf studies used this kind of likelihood fitting.

## Cited by on this site 1 record

[1 methods surveys]

Mathematics

SRC

## Cite it

```
Clauset, A., Shalizi, C. R., & Newman, M. E. J. (2009). Power-Law Distributions in Empirical Data. SIAM Review. https://doi.org/10.1137/070710111
```

[Read it free at doi.org](https://doi.org/10.1137/070710111)

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**SRC** 0D8MQGG20FDD

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The record

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