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The limit distribution for maxima of ‘weighted' rth-nearest-neighbour distances

Published online by Cambridge University Press:  14 July 2016

Norbert Henze*
Affiliation:
University of Hannover
*
Postal address: Lehrgebiet Mathematische Stochastik, Universität Hannover, Welfengarten 1, D-3000 Hannover 1, W. Germany.

Abstract

Let X1, X2, · ··, Xn be independent identically distributed random points with common density f(x), taking values in a bounded region (p ≧ 1). We obtain the limit distribution, as n → ∞, for the maximum value of the suitably ‘weighted' (according to f(x)) rth-nearest-neighbour distances of Χ1, · ··, Χ n (r ≧ 1 fixed) provided that f(x) is bounded from below by a positive constant and a weak continuity condition holds. This is achieved by refining an argument used by the author (Henze (1981)) to derive the limit distribution in the special case r = 1. Edge-effects are eliminated by defining, for each Xi, the distance to the boundary of G to be the ‘rth-nearest-neighbour distance' if it is smaller than the distance to the rth nearest neighbour among the remaining points. Applications to a multivariate test of goodness of fit are given.

Type
Research Papers
Copyright
Copyright © Applied Probability Trust 1982 

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References

Galambos, J. (1978) The Asymptotic Theory of Extreme Order Statistics. Wiley, New York.Google Scholar
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Weiss, L. (1960) A test of fit based on the largest sample spacing. J. SIAM 8, 295299.Google Scholar