Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: A set theoretic framework for enumerating matches in surveys and its
  application to reducing inaccuracies in vehicle roadside surveys   This paper describes a framework for analysing matches in multiple data sets.
The framework described is quite general and can be applied to a variety of
problems where matches are to be found in data surveyed at a number of
locations (or at a single location over a number of days). As an example, the
framework is applied to the problem of false matches in licence plate survey
data. The specific problem addressed is that of estimating how many vehicles
were genuinely sighted at every one of a number of survey points when there is
a possibility of accidentally confusing two vehicles due to the nature of the
survey undertaken.
  In this paper, a method for representing the possible "types of match" is
outlined using set theory. The phrase "types of match" will be defined and
formalised in this paper. A method for enumerating the set of all types of
match over n survey sites, is described. The method is applied to the problem
of correcting survey data for false matches using a simple probabalistic
method. An algorithm is developed for correcting false matches over multiple
survey sites and its use is demonstrated with simulation results.

29
The categories of this paper are: funct-an
0
The categories of this paper are: hep-ph
18
The categories of this paper are: econ
1
The categories of this paper are: cs
35
The categories of this paper are: mtrl-th
25
The categories of this paper are: patt-sol
24
The categories of this paper are: dg-ga
30
The categories of this paper are: q-alg
6
The categories of this paper are: astro-ph
11
The categories of this paper are: hep-lat
13
The categories of this paper are: quant-ph
23
The categories of this paper are: solv-int
12
The categories of this paper are: nucl-th
20
The categories of this paper are: acc-phys
10
The categories of this paper are: q-bio
26
The categories of this paper are: bayes-an