A set theoretic framework for enumerating matches in surveys and its application to reducing inaccuracies in vehicle roadside surveys
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Publication:2433516
DOI10.1016/J.EJOR.2005.02.024zbMATH Open1142.90347arXivmath/0610755OpenAlexW2034478987MaRDI QIDQ2433516
Author name not available (Why is that?)
Publication date: 27 October 2006
Published in: (Search for Journal in Brave)
Abstract: 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.
Full work available at URL: https://arxiv.org/abs/math/0610755
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