Exploratory data analysis is often used to test the goodness-of-fit of sample
observations to specific target distributions. A few such graphical tools have
been extensively used to detect subexponential or heavy-tailed behavior in
observed data. In this paper we discuss asymptotic limit behavior of two such
plotting tools: the quantile-quantile plot and the mean excess plot. The weak
consistency of these plots to fixed limit sets in an appropriate topology of
R2 has been shown in Das and Resnick (Stoch. Models 24 (2008)
103-132) and Ghosh and Resnick (Stochastic Process. Appl. 120 (2010)
1492-1517). In this paper we find asymptotic distributional limits for these
plots when the underlying distributions have regularly varying right-tails. As
an application we construct confidence bounds around the plots which enable us
to statistically test whether the underlying distribution is heavy-tailed or
not.Comment: Published in at http://dx.doi.org/10.3150/11-BEJ401 the Bernoulli
(http://isi.cbs.nl/bernoulli/) by the International Statistical
Institute/Bernoulli Society (http://isi.cbs.nl/BS/bshome.htm