Data matching is a typical statistical problem in non experimental and/or observa- tional studies or, more generally, in cross-sectional studies in which one or more data sets are to be compared. Several methods are available in the literature, most of which based on a particular metric or on statistical models, either parametric or nonparametric. In this paper we present two methods to calculate a proximity which have the property of being invariant under monotonic transformations. These methods require at most the notion of ordering. An open-source software in the form of a R package is also presented.

Invariant and metric free proximities for data matching: an R package

PORRO, Giuseppe;
2008-01-01

Abstract

Data matching is a typical statistical problem in non experimental and/or observa- tional studies or, more generally, in cross-sectional studies in which one or more data sets are to be compared. Several methods are available in the literature, most of which based on a particular metric or on statistical models, either parametric or nonparametric. In this paper we present two methods to calculate a proximity which have the property of being invariant under monotonic transformations. These methods require at most the notion of ordering. An open-source software in the form of a R package is also presented.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11368/1996109
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