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- W2149484219 endingPage "218" @default.
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- W2149484219 abstract "SummaryAny order-invariant function of a sequence of sample values may be expressed as a functional of the sample's empiric distribution function. This suggests that a very general approach to the theory of functions of sample values can be based on the empiric distribution function. The Komlos-Major-Tusnhdy (KMT) approximation provides a remarkable, mathematically tractable representation for the empiric distribution function of a random sample. Our aim in this paper is to describe the KMT approximation, particularly as it relates to other forms of approximation, and to survey some of its many applications." @default.
- W2149484219 created "2016-06-24" @default.
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- W2149484219 creator A5091084531 @default.
- W2149484219 date "1984-06-01" @default.
- W2149484219 modified "2023-10-16" @default.
- W2149484219 title "THE KOMLÓS-MAJOR-TUSNÁDY APPROXIMATIONS AND THEIR APPLICATIONS" @default.
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- W2149484219 doi "https://doi.org/10.1111/j.1467-842x.1984.tb01233.x" @default.
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