Joint asymptotic distribution of marginal quantiles and quantile functions in samples from a multivariate population
type: Item
instance of: scholarly article
title: Joint asymptotic distribution of marginal quantiles and quantile functions in samples from a multivariate population
zbMATH Open document ID: 0649.62050
DOI: 10.1016/0047-259X(88)90112-1
author: G. Jogesh Babu
author: C. R. Rao
published in: Journal of Multivariate Analysis
publication date: 1988-01-01T00:00:00Z
review text: The joint asymptotic distributions of the marginal quantiles and quantile functions in samples from a p-variate population are derived. Of particular interest is the joint asymptotic distribution of the marginal sample medians, on the basis of which tests of significance for population medians are developed. Methods of estimating unknown nuisance parameters are discussed. The approach is completely nonparametric.
Mathematics Subject Classification ID: 62H15
Mathematics Subject Classification ID: 62E20
Mathematics Subject Classification ID: 62G10
Mathematics Subject Classification ID: 62G30
Mathematics Subject Classification ID: 62H10
zbMATH DE Number: 4060549
zbMATH Keywords: asymptotic tests
zbMATH Keywords: bootstrap
zbMATH Keywords: quantile processes
zbMATH Keywords: joint asymptotic distributions
zbMATH Keywords: marginal quantiles
zbMATH Keywords: quantile functions
zbMATH Keywords: marginal sample medians
zbMATH Keywords: tests of significance for population medians
zbMATH Keywords: estimating unknown nuisance parameters
MaRDI profile type: Publication
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description: scientific article; zbMATH DE number 4060549