Admissibility of the empirical distribution function in discrete nonparametric invariant problems
type: Item
instance of: scholarly article
title: Admissibility of the empirical distribution function in discrete nonparametric invariant problems
zbMATH Open document ID: 0793.62008
DOI: 10.1016/0167-7152(93)90025-E
published in: Statistics \& Probability Letters
publication date: 1994-08-03T00:00:00Z
Mathematics Subject Classification ID: 62C15
Mathematics Subject Classification ID: 62G30
Mathematics Subject Classification ID: 62G05
zbMATH DE Number: 571653
zbMATH Keywords: invariant estimator
zbMATH Keywords: discrete distribution
zbMATH Keywords: stepwise Bayes procedure
zbMATH Keywords: empirical distribution function
author: Qiqing Yu
MaRDI profile type: Publication
cites work: Some Minimax Invariant Procedures for Estimating a Cumulative Distribution Function
cites work: Admissibility in discrete and continuous invariant nonparametric estimation problems and in their multinomial analogs
cites work: The admissibility of the empirical distribution function
cites work: Q5532825
cites work: Minimax estimation of a cumulative distribution function
cites work: Inadmissibility of the empirical distribution function in continuous invariant problems
cites work: Q3033111
cites work: Q4008974
cites work: Minimaxity of the empirical distribution function in invariant estimation
full work available at URL: 0167-7152(93)90025-e
OpenAlex ID: W2029299546
description: scientific article; zbMATH DE number 571653