Exponential Bounds for the Uniform Deviation of a Kind of Empirical Processes, II

J. Zhang, Lixing Zhu and P. Cheng

Journal of Multivariate Analysis, 1993, vol. 47, issue 2, 250-268

Abstract: In this paper, we show that the exponential bounds for the PP Kolmogorov-Smirnov statistic, the uniform deviation of an empirical process indexed by the indicators of some sets based on m-dimensional projections, are c(P) [lambda](2 + [alpha])(p - 1)m + 2(m - 1) exp(-2[lambda]2), where [alpha] ([alpha] >= 0) and c(P) are constants and P is the population distribution. In particular, [alpha] = 0 provided P is an elliptically contoured distribution or some distribution with a bounded support and uniformly bounded marginal density functions with respect to the Lebesgue measure.

Date: 1993
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