Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: A survey of a hurdle model for heavy-tailed data based on the
  generalized lambda distribution   In this survey we present an extensive research of the vast literature about
the Generalized Lambda Distribution (GLD) and propose a hurdle, or two-way,
model whose associated distribution is the GLD in order to meet the demand for
a highly flexible model of heavy-tailed data with excess of zeros. We apply the
developed models to a dataset consisting of yearly healthcare expenses, a
typical example of heavy-tailed data with excess of zeros. The fitted models
are compared with models based on the Generalised Pareto Distribution and it is
established that the GLD models perform best.

21
The categories of this paper are: adap-org
37
The categories of this paper are: supr-con
36
The categories of this paper are: cmp-lg
19
The categories of this paper are: eess
13
The categories of this paper are: quant-ph
22
The categories of this paper are: chao-dyn
23
The categories of this paper are: solv-int
30
The categories of this paper are: q-alg
29
The categories of this paper are: funct-an
6
The categories of this paper are: astro-ph
7
The categories of this paper are: hep-th
35
The categories of this paper are: mtrl-th
15
The categories of this paper are: nucl-ex
0
The categories of this paper are: hep-ph
17
The categories of this paper are: q-fin
18
The categories of this paper are: econ