Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Distribution free goodness of fit tests for regularly varying tail
  distributions   We discuss in this paper a possibility of constructing a whole class of
asymptotic distribution-free tests for testing regularly varying tail
distributions. The idea is that we treat the tails of distributions as members
of a parametric family and using MLE to estimate the exponent. No matter what
the exponent's estimator is, we are able to transform the whole class into a
specific distribution with a prefix exponent so that we are free from choosing
any functional of the tail empirical process as a distribution-free test
statistic. The asymptotic behavior of some new tests, as examples from the
whole class of new tests, are demonstrated as well.

26
The categories of this paper are: bayes-an
21
The categories of this paper are: adap-org
12
The categories of this paper are: nucl-th
23
The categories of this paper are: solv-int
33
The categories of this paper are: plasm-ph
37
The categories of this paper are: supr-con
5
The categories of this paper are: gr-qc
13
The categories of this paper are: quant-ph
9
The categories of this paper are: nlin
32
The categories of this paper are: atom-ph
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The categories of this paper are: cmp-lg
29
The categories of this paper are: funct-an
1
The categories of this paper are: cs
28
The categories of this paper are: alg-geom
11
The categories of this paper are: hep-lat
19
The categories of this paper are: eess