Testing whether new is better than used with randomly censored data
type: Item
instance of: scholarly article
title: Testing whether new is better than used with randomly censored data
zbMATH Open document ID: 0504.62086
author: Yuan Yan Chen
author: Myles Hollander
author: Naftali A. Langberg
published in: The Annals of Statistics
publication date: 1983-01-01T00:00:00Z
Mathematics Subject Classification ID: 62N05
Mathematics Subject Classification ID: 62G10
zbMATH DE Number: 3795237
zbMATH Keywords: new better than used
zbMATH Keywords: randomly censored data
zbMATH Keywords: Kaplan-Meier estimator
zbMATH Keywords: asymptotic normality
zbMATH Keywords: asymptotically exact test
zbMATH Keywords: life distribution
zbMATH Keywords: efficiency loss
zbMATH Keywords: exponentiality
zbMATH Keywords: uncensored model
MaRDI profile type: Publication
full work available at URL: https://doi.org/10.1214/aos/1176346077
OpenAlex ID: W2000778484
DOI: 10.1214/AOS/1176346077
description: scientific article; zbMATH DE number 3795237