tag:blogger.com,1999:blog-9179325420174899779.post1611266137426698553..comments2018-02-16T22:10:37.298-08:00Comments on ExploringDataBlog: The Long Tail of the Pareto DistributionRon Pearson (aka TheNoodleDoodler)http://www.blogger.com/profile/15693640298594791682noreply@blogger.comBlogger2125tag:blogger.com,1999:blog-9179325420174899779.post-13136434498875385702011-09-20T14:05:29.028-07:002011-09-20T14:05:29.028-07:00Ron, it would be nice if you could post the R code...Ron, it would be nice if you could post the R codes related to the blog posts. Cheers!Eduardo Santoshttps://www.blogger.com/profile/14568433796393811171noreply@blogger.comtag:blogger.com,1999:blog-9179325420174899779.post-62295022307659709182011-09-17T15:03:04.780-07:002011-09-17T15:03:04.780-07:00Unfortunately, you've fallen into the trap of ...Unfortunately, you've fallen into the trap of using the "long tail" misnomer. <br /><br />If you think about it, it can't possibly be the length of the tail that sets distributions like Pareto and Zipf apart; even the negative exponential and Gaussian have <i>infinitely</i> long tails. Rather, it's the "width" or "weight" of the tails (CDF) associated with these power laws that is the important difference. Hence, the more accurate terminology: <i>heavy</i> tailed or <i>power</i> tailed distributions.Neil Guntherhttps://www.blogger.com/profile/11441377418482735926noreply@blogger.com