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University of Illinois at Urbana-Champaign

The use of nonnull models for ranks in nonparametric statistics

Abstract

dc:description

"A popular nonparametric measure of a monotone relation between two variables is Kendall's tau. Originally, most analysis of this statistic assumed the two variables were independent, while more recently there has been interest in finding ""nonnull"" models for the observations which allow types of dependence. One such model popularized by Mallows (1957, Annals of Mathematical Statistics) uses a one-parameter exponential family model with the canonical sufficient statistic being equivalent to Kendall's tau."

Degree

thesis:*
Name thesis:degree_name
Ph.D.
Level thesis:degree_level
Dissertation
Discipline thesis:degree_discipline
Statistics
Grantor
University of Illinois at Urbana-Champaign
Year dc:date
2011

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Chung, Lyinn
Contributors dc:contributor
  • Marden, John I.

Subjects

dc:subject × 1

Rights

dc:rights
Statement dc:rights
  • Copyright 1989 Chung, Lyinn
Language dc:language
eng

Identifiers

dc:identifier.*
Identifier
AAI9010832
(UMI)AAI9010832
OAI identifier oai:identifier
oai:www.ideals.illinois.edu:2142/22484

Chain of custody

source
Harvested from
University of Illinois - Urbana-Champaign
Base URL
www.ideals.illinois.edu/oai-pmh
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
citation

Chung, Lyinn. The use of nonnull models for ranks in nonparametric statistics. Dissertation thesis, University of Illinois at Urbana-Champaign, 2011. http://hdl.handle.net/2142/22484