The University of Southampton
University of Southampton Institutional Repository

On the construction of exact lower confidence bounds on the distance between any two ranked location parameters of K populations

On the construction of exact lower confidence bounds on the distance between any two ranked location parameters of K populations
On the construction of exact lower confidence bounds on the distance between any two ranked location parameters of K populations
In this paper, an exact lower confidence bound on the distance between any two ranked location parameters of k populations is derived. This confidence bound contains the confidence bounds of Kim (1986) and of Chen, Xiong and Lam (1993) as special cases.
confidence interval, hypothesis test, monotone likelihood ratio
0361-0926
2073-2085
Liu, Wei
b64150aa-d935-4209-804d-24c1b97e024a
Liu, Wei
b64150aa-d935-4209-804d-24c1b97e024a

Liu, Wei (1995) On the construction of exact lower confidence bounds on the distance between any two ranked location parameters of K populations. Communications in Statistics: Theory and Methods, 24 (8), 2073-2085. (doi:10.1080/03610929508831603).

Record type: Article

Abstract

In this paper, an exact lower confidence bound on the distance between any two ranked location parameters of k populations is derived. This confidence bound contains the confidence bounds of Kim (1986) and of Chen, Xiong and Lam (1993) as special cases.

Full text not available from this repository.

More information

Published date: 1995
Keywords: confidence interval, hypothesis test, monotone likelihood ratio
Organisations: Statistical Sciences Research Institute

Identifiers

Local EPrints ID: 381063
URI: https://eprints.soton.ac.uk/id/eprint/381063
ISSN: 0361-0926
PURE UUID: 7064b7f9-d52d-4fd7-b677-6d9702d0c71f
ORCID for Wei Liu: ORCID iD orcid.org/0000-0002-4719-0345

Catalogue record

Date deposited: 05 Oct 2015 09:23
Last modified: 06 Jun 2018 13:11

Export record

Altmetrics

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of https://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×