Data matching is a typical statistical problem in non experimental and/or observational 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 / S.M. Iacus, G. Porro. - In: JOURNAL OF STATISTICAL SOFTWARE. - ISSN 1548-7660. - 25:11(2008), pp. 1-22.
Invariant and metric free proximities for data matching : an R package
S.M. IacusPrimo
;
2008
Abstract
Data matching is a typical statistical problem in non experimental and/or observational 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.File | Dimensione | Formato | |
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