Abstract
For random vectors taking values in Rd we introduce a notion of multivariate quantiles defined in terms of a class of sets and study an associated process which we call the generalized quantile process. This process specializes to the well known univariate quantile process. We obtain functional central limit theorems for our generalized quantile process and show that both Gaussian and non-Gaussian limiting processes can arise. A number of interesting example are included. CR - Copyright © 1992 Institute of Mathematical Statistics
Cite
CITATION STYLE
Einmahl, J. H. J., & Mason, D. M. (2007). Generalized Quantile Processes. The Annals of Statistics, 20(2). https://doi.org/10.1214/aos/1176348670
Register to see more suggestions
Mendeley helps you to discover research relevant for your work.