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Uniform estimation of isobars

STATISTICS & PROBABILITY LETTERS

Article

The ordering of a multivariate sample is not natural and several definitions have been proposed in the literature. We consider here a multivariate sample ordered according to an increasing family of conditional quantile surfaces, isobar surfaces. We introduce a nonparametric estimator, called isogram, and establish the uniform a.s. consistency of these estimators. In particular, we show that, under some regularity conditions, the strong behaviour of the isograms is determined by the corresponding behaviour of suitable defined histogram-type estimators of the underlying conditional distribution function. Consequently, we begin our study by investigating the strong limiting behaviour of these estimators.

MF Barme Delcroix

Publication

Year of publication: 2019

Identifiers

ISSN: 0167-7152

Other: WOS:000459845700014

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Preprint

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