Runaway events dominate the heavy tail of citation distributions

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Runaway Events Dominate the Heavy Tail of Citation Distributions

Statistical distributions with heavy tails are ubiquitous in natural and social phenomena. Since the entries in heavy tail have unproportional significance, the knowledge of its exact shape is very important. Citations of scientific papers form one of the best-known heavy tail distributions. Even in this case there is a considerable debate whether citation distribution follows the log-normal or...

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3. Frequency Distributions of Heavy Rainfall Events

The data used in developing the frequency relations consisted of both daily and hourly precipitation records from Illinois and from nearby stations in surrounding states. The daily data, mostly from nonrecording raingages, spanned the 83-year period from 1901 through 1983. They included data from the 61 precipitation-reporting stations discussed previously (figure 71, whose records had been car...

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3. Frequency Distributions of Heavy Rainfall Events

The data used in developing the frequency relations consisted of both daily and hourly precipitation records from Illinois and from nearby stations in surrounding states. The daily data, mostly from nonrecording raingages, spanned the 83-year period from 1901 through 1983. They included data from the 61 precipitation-reporting stations discussed previously (figure 71, whose records had been car...

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On Comparison of the Tail Index of Heavy Tail Distributions Using Pitman’s Measure of Closeness

The objective of this paper is to compare estimators which are a function of sample averages (a modification of Fan's estimators) based on different sample sizes for all symmetric stable distributions with exponent α (0 < α ≤ 2), according to the Pitman's measure of closeness criterion.

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ژورنال

عنوان ژورنال: The European Physical Journal Special Topics

سال: 2012

ISSN: 1951-6355,1951-6401

DOI: 10.1140/epjst/e2012-01576-4