Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Maximum likelihood estimators for the extreme value index based on the
  block maxima method   The maximum likelihood method offers a standard way to estimate the three
parameters of a generalized extreme value (GEV) distribution. Combined with the
block maxima method, it is often used in practice to assess the extreme value
index and normalization constants of a distribution satisfying a first order
extreme value condition, assuming implicitely that the block maxima are exactly
GEV distributed. This is unsatisfactory since the GEV distribution is a good
approximation of the block maxima distribution only for blocks of large size.
The purpose of this paper is to provide a theoretical basis for this
methodology. Under a first order extreme value condition only, we prove the
existence and consistency of the maximum likelihood estimators for the extreme
value index and normalization constants within the framework of the block
maxima method.

14
The categories of this paper are: math-ph
34
The categories of this paper are: chem-ph
19
The categories of this paper are: eess
37
The categories of this paper are: supr-con
5
The categories of this paper are: gr-qc
6
The categories of this paper are: astro-ph
3
The categories of this paper are: physics
36
The categories of this paper are: cmp-lg
20
The categories of this paper are: acc-phys
13
The categories of this paper are: quant-ph
11
The categories of this paper are: hep-lat
33
The categories of this paper are: plasm-ph
0
The categories of this paper are: hep-ph
15
The categories of this paper are: nucl-ex
16
The categories of this paper are: stat
4
The categories of this paper are: cond-mat