Editing Power law (section)

==== Mean residual life plots ====
On the other hand, in its version for identifying power-law probability distributions, the mean residual life plot consists of first log-transforming the data, and then  plotting the average of those log-transformed data that are higher than the ''i''-th order statistic versus the ''i''-th order statistic, for ''i''&nbsp;=&nbsp;1,&nbsp;...,&nbsp;''n'', where n is the size of the random sample. If the resultant scatterplot suggests that the plotted points tend to stabilize about a horizontal straight line, then a power-law distribution should be suspected. Since the mean residual life plot is very sensitive to outliers (it is not robust), it usually produces plots that are difficult to interpret; for this reason, such plots are usually called Hill horror plots.<ref>{{cite journal | last1 = Resnick | first1 = S. I. | year = 1997 | title = Heavy Tail Modeling and Teletraffic Data | journal = The Annals of Statistics | volume = 25 | issue = 5| pages = 1805–1869 | doi=10.1214/aos/1069362376| doi-access = free }}</ref>